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Sudeep Sarkar
Professor and Associate Vice President for Research & Innovation

University of South Florida

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Publications Link: http://www.csee.usf.edu/~sarkar
Recent Publications:
Publications with >6000 citations, h-index: 35 (Google) as of 1/1/2014
Books
 
1.      K. L. Boyer and S. Sarkar (eds), “Perceptual Organization for Arti?cial Vision Systems,” Kluwer Academic Publishers, 2000, ISBN: 079-23-7799-0.
2.      S. Sarkar and K. L. Boyer, “Computing Perceptual Organization in Computer Vision,” World Scienti?c, 1994, ISBN: 981-02-1832-X.
Book Chapters
1.      J. Pulecio, S. Bhanja, and S. Sarkar, “An Experimental Demonstration of the Viability of Energy Minimizing Computing Using Nano-Magnets,” in Nanoelectronic Device Applications Handbook, James E. Morris & Krzysztof Iniewski (Eds.), CRC Press, 2012
 
2.      A. Khemlani, K. Duncan, and S. Sarkar, “People Counter: Counting of Mostly Static People in Indoor Conditions,” in Video Analytics for Business Intelligence, Caifeng Shan, Fatih Porikli, Tao Xiang, and Shaogang Gong (Eds.), Springer-Verlag, 2012
 
3.      S. Sarkar and Z. Liu, “Gait,” in Encyclopedia of Cryptography and Security, Henk C.A. van Tilborg and Sushil Jajodia (Eds.), Springer-Verlag, 2011
 
4.      S. Sarkar and B. Loeding, and Ayush Parashar, “Fusion of Manual and Non-Manual Information in American Sign Language Recognition,” in Handbook of Pattern Recognition and Computer Vision (4th Edition),  C. H. Chen (Ed.), CRC Press, 2010.
 
5.      S. Sarkar and Z. Liu, “Evaluation of Gait Recognition,” in Encyclopedia of Biometrics, Stan Li and Anil Jain (Eds.), Springer, 2009
 
6.      D. Randeniya, M. Gunaratne, and S. Sarkar, “Fusion of Vision Inertial Data for Automatic Georeferencing,” in Knowledge Discovery from Sensor Data, Taylor and Francis/CRC Press, Chapter 7, pp. 105—128, 2008.
 
7.      S. Sarkar and Z. Liu, “Recognition from Gait,” in Handbook of Biometrics, A. K. Jain, P. Flynn, and  A. Ross (Eds.), Springer, 2007.
 
8.      K. Boyer, D. Fagerstrom, M. Kubovy, P. Johansen, and S. Sarkar, “Focused Deliberations: Spatiotemporal Grouping,” in Perceptual Organization for Arti?cial Vision Systems, Kluwer Academic Publishers, pp. 33–38, 2000.
 
9.      L. V. Tsap, D. B. Goldgof and S. Sarkar, “Finite Element Modeling in Image-Based Soft Tissue Analysis,” in SPIE Handbook on Medical Imaging -Volume 2: Medical Image Processing and Analysis, M. Sonka and M. Fitzpatrick (Eds.), SPIE Press, 2000.
 
10.   S. Chavali and S. Sarkar, “Parameter Selection for Performance Characterization of Vision Algorithms,” in Computer Vision, Graphics, and Image Processing: Recent Advances (S. Chaudhury and Shree Nayar eds.), Viva Book Private Limited, Delhi, pp. 64–69, Dec 1998.
 
11.   K. L. Boyer, S. V. Raman, and S. Sarkar, “Generating structure hypotheses in cerebral magnetic resonance images using segment based focusing and graph theoretic cycle enumeration,” in Advances in Image Analysis (Y. Mahdavieh and R. C. Gongalez), SPIE Optical Engg. Press, 1992.
Refereed Journal Papers
1.      S. Rajaram , D. K. Karunaratne , S. Sarkar , and S. Bhanja, “Study of Dipolar Neighbor Interaction on Magnetization States of Nano-Magnetic Disks,” IEEE Transactions on Magnetics, vol. 49, no. 7, July 2013.
2.      R. Panchumarthy, D.K Karunaratne, S. Sarkar, and S. Bhanja, “Magnetic State Estimator to Characterize the Magnetic States of Nano-Magnetic Disks,” IEEE Transactions on Magnetics, vol. 49, no. 7, July 2013.
3.      A. Brahmachari and S. Sarkar, “Hop-Diffusion Monte Carlo for Epipolar Geometry Estimation between Very Wide-Baseline Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 3, pp. 755-762, March 2013.
4.      K. Duncan and S. Sarkar, “Saliency in Images and Video: A Brief Survey,” IET Computer Vision, vol. 6, no. 6, pp. 514—523, 2012.
5.      S. Nayak, K. Duncan, B. Loeding, and S. Sarkar, “Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs,” Journal of Machine Learning Research,, vol. 13, pp. 2589—2615, Sept. 2012.
6.      S. Amarasiri, M. Gunaratne, and S. Sarkar, “Use of Digital Image Modeling for Evaluation of Concrete Pavement Macrotexture and Wear,” Journal of Transportation Engineering, vol. 138, no. 5, pp. 589-602, May 2012.
7.      A. Kumari, S. Sarkar, J. F. Pulecio, D. K. Karunaratne, and S. Bhanja, “Study of magnetization state transition in closely spaced nanomagnet two-dimensional array for computation,” Journal of Applied Physics, vol. 109, no. 7, http://dx.doi.org/10.1063/1.3536795, 2011.
8.      D. Randeniya, S. Sarkar, M. Gunaratne, “Vision IMU Integration using Slow Frame Rate Monocular Vision System in an Actual Roadway Setting,” IEEE Transactions on Intelligent Transportation Systems, vol.11, no.2, pp.256-266, June 2010.
9.       S. Amarasiri, M. Gunaratne, S. Sarkar, A. Nazef, “Optical Texture-based for Modeling Pavement Surface Wear and Cracks using Digital Images,” Transportation Research Record: Journal of the Transportation Research Board, TRB of the National Academies, pp. 130-140, 2010.
10.   S. Amarasiri, M. Gunaratne, S. Sarkar, “Modeling of Crack Depths in Digital Images of Concrete Pavements Using Optical Reflection Properties,” Journal of Transportation Engineering, vol. 136, no. 6, pp. 489-499, June 2010.
11.   R. Yang and S. Sarkar, “Handling Movement Epenthesis and Hand Segmentation Ambiguities in Continuous Sign Language Recognition using Nested Dynamic Programming,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 3, pp. 462—477, March 2010.
12.   J. Candamo, R. Kasturi, D. Goldgof, S. Sarkar, “Detection of thin lines using low quality video from low altitude aircraft in urban settings,”  IEEE Transactions on Aerospace and Electronic Systems, vol. 45, no. 3, pp. 937—947, July 2009.
13.   R. Yang and S. Sarkar, “Coupled Grouping and Matching for Sign and Gesture Recognition,” Computer Vision and Image Understanding, vol.113, vo. 6, pp. 663—681, June 2009.
14.   S. Nayak, S. Sarkar, B. Loeding, “Distribution-based dimensionality reduction applied to articulated motion recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 5, pp. 795—810,  May 2009.
15.   S. Srivatsava, S. Sarkar, and S. Bhanja, “Estimation of Upper Bound of Power Dissipation in QCA Circuits,” IEEE Transactions on Nanotechnology, vol. 8, no. 1, pp. 116—127, Jan 2009.
16.   P. K. Mohanty, S. Sarkar, P. Jonathon Phillips, R. Kasturi, “Subspace Approximation of Face Recognition Algorithms: An Empirical Study,” IEEE Transactions on Information Forensics & Security, vol. 3, no. 4, pp. 734—748, Dec. 2008.
17.   H. Vajaria, S. Sarkar, R. Kasturi, “Exploring Co-occurence between Speech and Body Movement for Audio-guided Video Localization,” IEEE Transactions on Circuits and Systems for Video Technology (Special Issue on Event Analysis in Videos), vol. 18, no. 11, pp. 1608—1617, Nov. 2008.
18.   S. K. Ghosh, J. W. Burdick, A. Bhattacharya, S. Sarkar, “On-line Algorithms for Exploring Unknown Polygonal Environments with Discrete Visibility,” IEEE Robotics and Automation Magazine, Special Issue on Computational Geometry in Path Planning, vol.15,  no.2,  pp.67-76, June 2008.
19.   S. Bhanja and S. Sarkar, “Thermal Switching Error versus Delay Tradeoffs in Clocked QCA Circuits,” IEEE Transactions on VLSI Systems, vol. 16, no. 5, pp. 528—541, May 2008.
20.   D. Randeniya, M. Gunaratne, S. Sarkar, and A. Nazef, “Calibration of Inertial and Vision Systems as a Prelude to Multi-Sensor Fusion,” Transportation Research Part C (Emerging Technologies), vol. 16, no. 2, pp.  255—274, Apr 2008.
21.   P. Mohanty, S. Sarkar, R. Kasturi, “From Scores to Face Template: A Model-based Approach,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 12, Dec. 2007.
22.   H. Vajaria, T. Islam, P. Mohanty, S. Sarkar, R. Sankar, R. Kasturi, “Evaluation and analysis of a face and voice outdoor multi-biometric system,” Pattern Recognition Letters, vol. 28, no. 12, pp. 1572– 1580, Sept. 2007. 
23.   Z. Liu and S. Sarkar, “Outdoor recognition at a distance by fusing gait and face,” Image and Vision Computing, vol. 25, no. 6, pp. 817—832, June 2007.
24.   Y. Zhang, D. B. Goldgof, S. Sarkar and L. V. Tsap, “A Sensitivity Analysis Method and Its Application in Physics-Based Nonrigid Motion Modeling,”, Image and Vision Computing, vol. 25, no. 25, pp. 262– 273, March 2007.
25.   Z. Liu and S. Sarkar, “Improved Gait Recognition by Gait Dynamics Normalization,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 6, pp. 863–876, June 2006. (>100 Google Scholar citations)
26.   Y. Zhang, L. O. Hall, D. B. Goldgof, and S. Sarkar, “A Constrained Genetic Approach for Computing Material Property of Elastic Objects,” IEEE Transactions on Evolutionary Computation, vol. 10, no. 3, pp. 341–357, June 2006.
27.   S. Bhanja and S. Sarkar, “Probabilistic Modeling of QCA Circuits Using Bayesian Networks,” IEEE Transactions on Nanotechnology, vol 5, no 6, pp. 657–670, Nov. 2006.
28.   Z. Liu and S. Sarkar, “Effect of Silhouette Quality on Hard Problems in Gait Recognition,” IEEE Transactions on Systems, Man, and Cybernetics-PartB, vol. 35, no. 2, pp. 170–183, Apr. 2005.  
29.    S. Sarkar, P. Jonathon Phillips, Z. Liu, I. Robledo, P. Grother, K. Bowyer, “The Human ID Gait Challenge Problem: Data Sets, Performance, and Analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 2, pp. 162–177, Feb. 2005. (>500 Google scholar citations)
30.   Y. Zhang, D. Goldgof, S. Sarkar, and L. Tsap, “A Modeling Approach for Burn Scar Assessment Using Natural Feature and Elastic Property,” IEEE Transactions on Medical Imaging, vol 23, no. 10, pp. 1325–1329, Oct. 2004
31.   M. Powell, S. Sarkar, D. B. Goldgof, and K. Ivanov, “A Methodology for Extracting Objective Color From Images,” IEEE Transactions on Systems, Man, and Cybernetics-Part B, vol. 34, no. 5, pp. 1964– 1978, Oct. 2004.
32.   A. Gosavi, T. K. Das, and S. Sarkar, “A simulation-based learning automata framework for solving semi-Markov decision problems under long-run average reward,” IIE Transactions on Quality and Reliability Engineering, vol. 36, no. 6, pp. 557–567, June 2004.
33.   I. Robledo and S. Sarkar, “Statistical motion model based on the change of feature relationships: human gait-based recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 10, pp. 1323–1328, Oct 2003.[1]
34.   K. Chang, K. W. Bowyer, S. Sarkar, and B. Victor, “Comparison and Combination of Ear and Face Images In Appearance-Based Biometrics,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1160–1165, Sept. 2003. (> 300 Google Scholar citations)
35.   P. Soundararajan and S. Sarkar, “An In-Depth Study of Graph Partitioning Measures for Perceptual Organization,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 6, pp. 642– 660, June 2003.
36.   S. Sarkar, D. Majchrzak, and K. Korimilli, “Perceptual Organization based Computational Model for Robust Segmentation of Moving Objects,” Computer Vision and Image Understanding, vol. 86, no. 3, pp. 141–170, June 2002.
37.   L. Tsap, D. B. Goldgof, and S. Sarkar, “Fusion of physically-based registration and deformation modeling for non-rigid motion analysis,” in IEEE Transactions on Image Processing, vol. 10, no. 11, pp. 1659–1669, June 2001.
38.   M. W. Powell, S. Sarkar, and D. B. Goldgof, “A simple strategy for calibrating the geometry of light sources,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 9, pp. 1022– 1027, Sept. 2001.
39.   S. Chavali and S. Sarkar, “Modeling Parameter Space Behavior of Vision Systems using Bayesian Networks,” in Computer Vision and Image Understanding, vol. 79, no. 2, pp. 185–223, Aug 2000.
40.   L. V. Tsap, D. B. Goldgof and S. Sarkar, “Nonrigid Motion Analysis Based on Dynamic Re?nement of Finite Element Models,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 5, pp. 526–543, May 2000.  
41.   S. Sarkar and P. Soundararajan, “Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 5, pp. 504–525, May 2000. (> 100 Google Scholar citations)
42.   L. V. Tsap, D. B. Goldgof, S. Sarkar, and P. S. Powers, “A method for increasing precision and reliability of elasticity analysis in complicated burn scar cases,” in International Journal of Pattern Recognition and Arti?cial Intelligence, vol. 14, no. 2, pp. 189–210, March 2000.
43.   K. L. Boyer and S. Sarkar, “Perceptual Organization in Computer Vision: Status, Challenges, and Potential,” Editorial in Computer Vision and Image Understanding, vol. 76, no. 1, pp. 1–5, Oct. 1999.
44.   T. K. Das and S. Sarkar, “Optimal Preventive Maintenance in a Production Inventory System,” in IIE Transactions on Quality and Reliability Engineering, vol. 31, no. 6, pp. 537–551, June 1999.
45.   L. V. Tsap, D. B. Goldgof, and S. Sarkar, “Model-based force-driven nonrigid motion recovery from sequences of range images without point correspondences,” in Image and Vision Computing, vol. 17, no. 14, pp. 997–1008, 1999.
46.   P. Powers, S. Sarkar, D. B. Goldgof, C. W. Cruse, and L. V. Tsap, “Scar Assessment: Current problems and future solutions,” in Journal of Burn Care and Rehabilitation, vol. 20, no. 1, part 1, pp. 54–60, Jan/Feb. 1999.
47.   L. V. Tsap, D. B. Goldgof, S. Sarkar, and P. Powers, “A vision-based technique for objective assessment of burn scars,” in IEEE Transactions on Medical Imaging, pp. 620–633, vol. 17, no. 4, Aug 1998.
48.   T. Sanocki, K. W. Bowyer, M. Heath, and S. Sarkar, “Are Edges Suf?cient for Object Recognition,” in Journal of Experimental Psychology: Human Perception and Performance, vol. 24, no. 1, pp. 340–349, 1998.
49.   S. Sarkar and K. L. Boyer, “Quantitative Measures of Change based on Feature Organization: Eigenvalues and Eigenvectors” in Computer Vision and Image Understanding, vol. 71, no. 1, pp. 110-136, July 1998. (> 200 Google Scholar citations)
50.   L. V. Tsap, D. B. Goldgof, and S. Sarkar, “Ef?cient Nonlinear Finite Element Modeling of Nonrigid Objects via Optimization of Mesh Models,” in Special Issue of Computer Vision and Image Understanding on CAD-Based Computer Vision, vol. 69, no. 3, pp. 330–350, March 1998.
51.   M. Heath, S. Sarkar, T. Sanocki, and K. W. Bowyer, “Comparison of Edge Detectors: Initial Study and Methodology” in Computer Vision and Image Understanding, vol. 69, no. 1, pp. 38–54, Jan. 1998. (> 300 Google Scholar citations)
52.   S. Sarkar and D. B. Goldgof, “Integrating Image Computation in Undergraduate Level Data Structures Education,” Special Issue on Education in International Journal on Pattern Recognition and Arti?cial Intelligence, vol. 12, no. 8, pp. 1071–1080, 1998.
53.   M. Heath, S. Sarkar, T. Sanocki, and K. W. Bowyer, “A Robust Visual Method for Assessing the Relative Performance of Edge Detection Algorithms” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 12, pp. 1338–1359, Dec. 1997. (>300 Google Scholar citations)
54.   S. Borra and S. Sarkar, “A Framework for Performance Characterization of Intermediate Level Grouping Modules,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 11, pp. 1306–1312, Nov. 1997.
55.   S. Sarkar and K. L. Boyer, “Using Perceptual Inference Networks to Manage Vision Processes,” in Computer Vision, Graphics, and Image Processing: Image Understanding, vol. 62, no. 1, pp. 27–46, July 1995.
56.   S. Sarkar and K. L. Boyer, “A Computational Structure for Pre-attentive Perceptual Organization: Graphical Enumeration and Voting Methods,” in IEEE Transactions on Systems, Man, and Cybernetics, vol. 24, no. 2, pp. 246–267, Feb. 1994.
57.   K. L. Boyer and S. Sarkar, “Comments on “On the Localization Performance Measure and Optimal Detection,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 1, pp. 106–107, Jan. 1994.
58.   S. Sarkar and K. L. Boyer, “Perceptual Organization in Computer Vision: A Review and a proposal for a Classi?catory Structure,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 23, no. 2, pp. 382–399, Mar. 1993. (> 100 Google Scholar citations)
59.   S. Sarkar and K. L. Boyer, “Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (Special Section on Probabilistic Reasoning), vol. 15, no. 3, pp. 256–274, Mar. 1993. (> 100 Google Scholar citations)
60.   S. V. Raman, S. Sarkar, and K. L. Boyer, “Hypothesizing Structures in Edge Focused Cerebral Magnetic Resonance Images Using Graph Theoretic Cycle Enumeration,” in Computer Vision, Graphics, and Image Processing: Image Understanding, vol. 57, no. 1, pp. 81–98, Jan. 1993.
61.   S. Sarkar and K. L. Boyer, “On optimal in?nite impulse response edge detection ?lters,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no. 2, pp. 1154–1171, Nov. 1991. (> 100 Google Scholar citations)
62.   S. Sarkar and K. L. Boyer, “Optimal in?nite impulse response zero crossing based edge detectors,” in Computer Vision, Graphics, and Image Processing: Image Understanding, vol. 54, no. 2, pp. 224–243, Sept. 1991.
63.   S. V. Raman, S. Sarkar, and K. L. Boyer, “Tissue boundary re?nement in magnetic resonance images using contour-based scale space matching,” in IEEE Transactions on Medical Imaging, vol. 10, pp. 109–121, June 1991.
64.   K. L. Boyer, D. M. Wuescher, and S. Sarkar, “Dynamic edge warping: An experimental system for recovering disparity maps in weakly constrained systems,” in IEEE Transactions on Systems, Man, and Cybernetics, vol. 21, pp. 143–158, Jan. 1991.
Full Paper Refereed Conference Papers
65.   F. A. Faria, J. A. dos Santos, S. Sarkar, A. Rocha, and R. Torres, “Classifier Selection based on the Correlation of Diversity Measures: When Fewer is More,” Conference on Graphics, Patterns, and Images (SIBGRAPI), Brazil, 2013.
66.   K. Duncan, S. Sarkar, R. Alqasemi, and R. Dubey, “Multi-scale Superquadric Fitting for Efficient Shape and Pose Recovery of Unknown Objects,” IEEE Conference on Robotics and Automation (ICRA), 2013.
67.   R. Panchumarthy, R. Subramanian and S. Sarkar, “Biometric Evaluation on the Cloud: A Case Study with HumanID Gait Challenge,” IEEE/ACM International Conference on Utility and Cloud Computing, 2012.
68.   K. Duncan and S. Sarkar, “Relational Entropy-based Saliency Detection in Images and Videos,” IEEE International Conference on Image Processing, 2012.
69.   A. S. Brahmachari and S. Sarkar, “Fast Detection of Noisy GPS and Magnetometer Tags in Fast Detection of Noisy GPS and Magnetometer Tags in Wide-Baseline Multi-Views,” ACM Multimedia Conference, 2011.
70.   M. Shreve, N. Jain, D. B. Goldgof, S. Sarkar, W. G. Kropatsch, C. J. Tzou, M. Frey, “Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain,” International Conference on Computer Analysis of Images and Patterns, vol. 1, pp. 512—519, 2011.
71.   M. Shreve, S. Godavarthy, D. B. Goldgof, S. Sarkar, “Macro- and micro-expression spotting in long videos using spatio-temporal strain,” IEEE Conference on Face and Gesture Recognition, pp. 51-56, 2011.
72.   A. S. Brahmachari and S. Sarkar, “View Clustering of Wide-Baseline N-Views for Photo Tourism,” Proceedings of Conference on Graphics, Patterns and Images (SIBGRAPI), 2011.
73.   R. Panchumarthy, D. Karunaratne, S. Sarkar, S. Bhanja, “Tool for analysis and quantification of fabrication layouts in nanomagnet-based computing,” IEEE Conference on Nanotechnology (IEEE-NANO), pp. 111-115, Aug. 2011.
74.   J. Pulecio, S. Bhanja, S. Sarkar, “An experimental demonstration of the viability of energy minimizing computing using nano-magnets,” IEEE Conference on Nanotechnology (IEEE-NANO),  pp. 1038-1042, Aug 2011.
75.   S. Srivastava, A. Asthana, S. Bhanja, S. Sarkar, “QCAPro - An Error-Power Estimation Tool for QCA Circuit Design,” IEEE International Symposium on Circuits and Systems, May 2011.
76.   M. Shreve, V. Manohar, D. Goldgof, and S. Sarkar, “Face Recognition under Camouflage and Adverse Illumination,” IEEE Conference on Biometrics Theory, Applications and Systems, Sept. 2010 (oral).
77.   R. Krishnan and S. Sarkar, “Detecting Group Turn Patterns in Conversations using Audio-Video Change Scale-Space,” International Conference on Pattern Recognition, 2010 (oral).
78.   V. Manohar, M. Shreve, D. Goldgof, and S. Sarkar, “Modeling Facial Skin Motion Properties in Video and its Application to Matching Faces across Expressions,” International Conference on Pattern Recognition, 2010, (oral).
79.   A. S. Brahmachari, S. Sarkar, “BLOGS: Balanced Local and Global Search for Non-degenerate Two View Epipolar Geometry,” IEEE International Conference on Computer Vision (ICCV), Oct 2009.
80.   S. Nayak, S. Sarkar, and B. Loeding, “Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2583-2590, June 2009.
81.   S. Amarasiri, M. Gunaratne, S. Sarkar, A. Nazef, “Modeling of Cracks and Joints in Digital Images of Concrete Pavements Using Optical Reflection Properties,” 88th Annual Meeting of Transportation Research Board, 2009.
82.   H. Vajaria, S. Sarkar, and R. Kasturi, “Clip Retrieval Using Multi-Modal Biometrics in Meeting Archives,” International Conference on Pattern Recognition, Dec. 2008 (oral).
83.   V. Manohar, M. Shreve, D. Goldgof, and S. Sarkar, “Finite Element Modeling of Facial Deformation in Videos for Computing Strain Pattern,” International Conference on Pattern Recognition, Dec. 2008.
84.   Z. Liu and S. Sarkar, “Robust Outdoor Text Detection Using Text Intensity and Shape Features,” International Conference on Pattern Recognition, Dec. 2008.
85.   S. Sarkar and P. Mohanty, “Globally Linear Embedding of Biometric Scores: An Empirical Study, IEEE Conference on Biometrics: Theory, Applications, and Systems, May 2008.
86.   S. Amarasiri, M. Gunaratne, S. Sarkar, and A. Nazef, “Characterization of Texture Properties of Pavement Images as Aid to Automated Comprehensive Pavement Evaluation,” Annual Meeting of Transportation Research Board of the National Academies, Jan. 2008.
87.   R. Yang, S. Sarkar, and B. Loeding, “Enhanced Level Building Algorithm for the Movement Epenthesis Problem in Sign Language Recognition,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8, June 2007 (oral).
88.   R. Yang and S. Sarkar, “Gesture Recognition using Hidden Markov Models from Fragmented Observations,” IEEE Conference on Computer Vision and Pattern Recognition pp. 766-773, June 2006.
89.   H. Vajaria, T. Islam, S. Sarkar, R. Sankar, R. Kasturi, “Audio Segmentation and Speaker Localization in Meeting Videos,” International Conference on Pattern Recognition, vol.2, pp. 1150–1153, Aug. 2006 (oral).
90.   Ruiduo Yang and S. Sarkar, “Detecting Coarticulation in Sign Language using Conditional Random Fields,” International Conference on Pattern Recognition vol. 2, no.pp. 108-112, 20-24, Aug. 2006 (oral).
91.   S. Ravulapalli and S. Sarkar, “Association of Sound to Motion in Video using Perceptual Organization,” International Conference on Pattern Recognition, vol.1, no.pp.1216-1219, 2006.
92.   P. Mohanty, S. Sarkar, R. Kasturi, “A Non-Iterative Approach to Reconstruct Face Templates from Match Scores,” International Conference on Pattern Recognition, vol.4, no.pp. 598-601, Aug. 2006 (oral).
93.   R. Yang, S. Sarkar, B. L. Loeding, A. I. Karshmer, “Ef?cient Generation of Large Amounts of Training Data for Sign Language Recognition: A Semi-automatic Tool,” International Conference on Computers Helping People with Special Needs, pp. 635–642, 2006, (oral).
94.   S. Bhanja and S. Sarkar, “Switching Error Modes of QCA Circuits,”IEEE Conference on Nanotechnology, vol. 1, pp. 383-386, 17-20 June 2006.
95.   S. Srivastava, S. Sarkar, and S. Bhanja, “Power Dissipation Bounds and Models for Quantum-dot Cellular Automata Circuits,” IEEE Conference on Nanotechnology, vol.1, no.pp. 375-378, 17-20 June 2006.
96.   S. Bhanja and S. Sarkar, “Graphical probabilistic inference for ground state and near-ground state computing in QCA circuits,IEEE Conference on Nanotechnology, vol. 1, pp 290-293, 2005.
97.   S. Sarkar and S. Bhanja, “Synthesizing energy minimizing quantum-dot cellular automata circuits for vision computing,” IEEE Conference on Nanotechnology, vol. 2, pp. 541-544, 2005.
98.   Z. Liu and S. Sarkar, “Simplest Representation Yet for Gait Recognition: Averaged Silhouette,” International Conference on Pattern Recognition, Aug. 2004. (> 100 Google Scholar citations)  
99.   D. Majchrzak and S. Sarkar, “Parallelizing Motion Segmentation by Perceptual Organization of XYT,” International Conference on Pattern Recognition, Aug. 2004.
100.Y. Zhang, D. Goldgof, and S. Sarkar, “Elastic Face, An Anatomy-based Biometrics Beyond Visible Cue,” International Conference on Pattern Recognition, Aug. 2004.
101.B. L. Loeding, S. Sarkar, A. Parashar, and A. Karshmer, “Progress in Automated Computer Recognition of Sign Language,” International Conference on Computers Helping People with Special Needs, July 2004.
102.Z. Liu, L. Malave and S. Sarkar, “Studies on Silhouette Quality and Gait Recognition,” IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 704–711, June 2004.
103.Y. Qiu, D. Goldgof, L. Lihua, S. Sarkar, Y. Zhang, and S. Anton “Correspondence Recovering in 2-view mammography,” IEEE International Symposium on Biomedical Imaging, pp. 197–200, April 2004.
104.I. Robledo and S. Sarkar, “Experiments on Gait Analysis by Exploiting Nonstationarity in the Distribution of Feature Relationships,” International Conference on Pattern Recognition, vol. 1, pp. 1–4, Aug. 2002, (oral).
105.P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. Bowyer, “The Gait Identi?cation Challenge Problem: Data Sets and Baseline Algorithm,” International Conference on Pattern Recognition, vol. 1, pp. 385–388, Aug 2002. (> 100 Google Scholar citations)
106.A. Robles-Kelly, S. Sarkar, and E. R. Hancock, “A Fast Leading Eigenvector Approximation for Segmentation and Grouping,” International Conference on Pattern Recognition, vol. 2, pp. 639–642, Aug 2002.
107.B. Victor, K. Bowyer, and S. Sarkar, “An Evaluation of face and ear Biometrics,” International Conference on Pattern Recognition, vol. 1, pp. 429–432, Aug 2002. (> 100 Google Scholar citations)
108.Y. Zhang, D. B. Goldgof, S. Sarkar, and M. Shin, “Recovering Elastic Property of Soft Tissues Using 2D Image Sequences With Limited Range Data,” International Conference on Pattern Recognition, vol. 1, pp. 755–758, Aug 2002.
109.Y. Zhang, D. B. Goldgof, S. Sarkar, and L. V. Tsap, “Tracking Objects Using Recovered Physical Motion Parameters,” International Conference on Pattern Recognition, vol. 2, pp. 10–13, Aug 2002.
110.P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. W. Bowyer, “Baseline Results for the Challenge Problem of Human ID Using Gait Analysis,” International Conference on Automatic Face and Gesture Recognition, pp. 137–142, May 2002. (> 100 Google Scholar citations)
111.Y. Zhang, L. O. Hall, D. B. Goldgof and S. Sarkar, “A Constrained Genetic Approach for Reconstructing Young’s Modulus of Elastic Objects from Boundary Displacement Measurements,” World Congress on Evolutionary Computation (WCCI), pp. 1003-1008, May 2002.
112.I. Robledo and S. Sarkar, “Discrimination of Motion Based on Traces in the Space of Probability Functions over Feature Relations,” IEEE Conference on Computer Vision and Pattern Recognition, pp. 976–983, Dec. 2001.
113.P. Soundararajan and S. Sarkar, “Investigation of Measures for Grouping by Graph Partitioning,” in IEEE Conference on Computer Vision and Pattern Recognition, pp. 239–246, Dec. 2001, (oral).
114.A. Bhattacharya, S. Ghosh, and S. Sarkar, “Exploring an Unknown polygonal environment with bounded visibility,” in International Conference on Computational Science, published as Lecture Notes in Computer Science, Springer Verlag, vol. 2073, pp. 640–648, May 2001.
115.Y. Zhang, D. Goldgof, S. Sarkar, L. Tsap, “Model-Based Nonrigid Motion Analysis Using Natural Feature-Adaptive Mesh,” in International Conference on Pattern Recognition, v3, pp. 839-843, Barcelona, Spain, September 2000.
116.K. Korimilli and S. Sarkar, “Motion Segmentation based on Perceptual Organization of Spatio-Temporal Volumes,” in International Conference on Pattern Recognition, pp. 844—848, Barcelona, Sept 2000.
117.D. Majchrzak, S. Sarkar, B. Sheppard and, R. Murphy, “Motion Detection From Temporally Integrated Images,” in International Conference on Pattern Recognition, Barcelona, pp. 836—839, Sept 2000.
118.L. V. Tsap, D. Goldgof, and S. Sarkar, “Multiscale Combination of Physically based Registration and Deformation Modeling,” in IEEE International Conference on Computer Vision and Pattern Recognition, June 2000.
119.M. Powell, S. Sarkar, and D. Goldgof, “Calibration of Light Sources,” in IEEE International Conference on Computer Vision and Pattern Recognition, June 2000.
120.S. Sainath and S. Sarkar, “An opportunistic algorithm for structural matching of images”, in International Conference on Image Processing, pp. 798–802, vol. 1, Oct 1998  
121.L. Tsap, G. Goldgof, and S. Sarkar, “A model based point correspondence and non-rigid motion recovery from sequences of range images,” in International Conference on Image Processing, pp. 218-222, vol. 2, Oct 1998.
122.J. Wang, K. W. Bowyer, T. Sanocki, S. Sarkar, “The Effect of Edge Strength on Object Recognition from Edge Images,” in International Conference on Image Processing, vol. 3, pp. 45–49, Oct 1998 (oral).
123.S. Sarkar, “Learning to Form Large Groups of Salient Image Features,” in IEEE Conference on Computer Vision and Pattern Recognition, pp. 780–786, June 1998.
124.L. V. Tsap, D. B. Goldgof, and S. Sarkar, “Nonrigid Motion Analysis Based on Dynamic Re?nement of Finite Element Models,” in IEEE Conference on Computer Vision and Pattern Recognition, pp. 728–734, June 1998.
125.S. Borra and S. Sarkar, “Experimental Performance Evaluation of Feature Grouping Modules,” in IEEE Conference on Computer Vision and Pattern Recognition, pp. 891–896, June 1997.
126.N. Saxena, S. Sarkar, and N. Ranganathan, “Mapping and Parallel Implementation of Bayesian Belief Networks,” in IEEE Symposium on Parallel and Distributed Processing, Oct. 1996.
127.S. Sarkar and Kim L. Boyer, “Quantitative Measures of Change based on Feature Organization: Eigenvalues and Eigenvectors” in Conference on Computer Vision and Pattern Recognition, pp. 478–483, June 1996 (oral).
128.M. Heath, S. Sarkar, T. Sanocki, and K.W. Bowyer, “Edge Detector Comparison: Initial Study and Methodology” in IEEE Conference on Computer Vision and Pattern Recognition, pp. 143– 148, June 1996 (oral).
129.S. Sarkar, “Tracking 2D Structures Using Perceptual Organizational Principles,” in International Symposium on Computer Vision, Coral Gables, Florida, pp. 283–288, Nov 1995 (oral).
130.S. Sarkar and K. L. Boyer, “Using Perceptual Inference Networks to Manage Vision Processes,” in International Conference on Pattern Recognition, pp. 808—810, Oct. 1994 (oral).
131.S. Sarkar and K. L. Boyer, “Automated Design of Bayesian Perceptual Inference Networks,” in IEEE Conference on Computer Vision and Pattern Recognition, pp 98-103, June 1994 (oral).
132.S. Sarkar and K. L. Boyer, “Computing Perceptual Organization using Voting Methods and Graphical Enumeration,” in International Conference on Pattern Recognition, Aug. 1992 (oral).
133.S. Sarkar and K. L. Boyer, “Perceptual Organization using Bayesian Networks,” in IEEE Conference on Computer Vision and Pattern Recognition, pp 251–256, June 1992 (oral).
134.K. L. Boyer and S. Sarkar, “Assessing the State of Art in Edge Detection: 1992,” in SPIE: Application of Arti?cial Intelligence X: Machine Vision and Robotics, pp. 353– 362, April 1992.
135.K. L. Boyer, D. M. Wuescher, and S. Sarkar, “Dynamic edge warping: Experiments in disparity estimation under weak constraints,” in Third International Conference on Computer Vision, pp. 471–475, Dec. 1990.
136.S. V. Raman, S. Sarkar, and K. L. Boyer, “Tissue boundary re?nement in MRI using contour-based scale space matching,” in Symposium for Computer Assisted Radiology, (Anaheim, CA), pp. 618–624, June 1990.
137.S. Sarkar and K. L. Boyer, “Optimal, ef?cient, recursive edge detection ?lters,” in International Conference on Pattern Recognition, pp. 931–936, June 1990 (oral).
Refereed Workshop Papers
138. R. Krishnan and S. Sarkar, “Similarity Measure between Two Gestures using Triplets,” IEEE-CVPR Workshop on Human Activity Understanding from 3D Data, 2013.
139.M. Segundo, S. Sarkar, O. Bellon, L. Silva, and D. B. Goldgof, “Continuous 3D Face Authentication using RGB-D Cameras,” IEEE-CVPR Workshop on Biometrics, 2013.
140.M. Shreve, S. Fefilatyev, N. Bonilla, G. Hernandez, D. Goldgof and S. Sarkar, “Method for Calculating View-Invariant 3D Optical Strain,” IAPR Workshop on Depth Image Analysis, 2012.
141.S. Sarkar, B. Loeding, R. Yang, S. Nayak, A. Parashar, “Segmentation-robust representations, matching, and modeling for sign language,” IEEE Workshop on Gesture Recognition, pp.13-19, 2011
142.S. Godavarthy, M. Shreve, D. Goldgof, S. Sarkar, and V. Manohar, “Towards Macro- and Micro-Expression Spotting in Video Using Strain Patterns,” IEEE Workshop on Applications of Computer Vision, 2009.
143.B. Klare and S. Sarkar, “Background Subtraction in Varying Illuminations Using an Ensemble Based on an Enlarged Feature Set,” IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum, 2009.
144.S. Sarkar and S. Bhanja, “Direct Quadratic Minimization using Magnetic Field-based Computing,” IEEE International Workshop on Design and Test of Nano Devices, Circuits and Systems, pp. 31—34, 2008
145.D. Randeniya, S. Sarkar, and M. Gunaratne, “Fusion of Vision Inertial data for Automatic Geo-referencing,” First International Workshop on Knowledge Discovery from Sensor Data, 2007.
146. V. Manohar, D. Goldgof, S. Sarkar, and Y. Zhang, “Facial Strain Pattern as a Soft Forensic Evidence,” IEEE Workshop on Applications of Computer Vision, pp. 42–48, 2007.
147.Y. Zhang, Y. Qiu, D. B. Goldgof, S. Sarkar, and L. Li, “3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in X-ray and MR Images,” IEEE Workshop on Applications of Computer Vision, 2007.
148. P. Mohanty,  S. Sarkar,  R. Kasturi, “Privacy & Security Issues Related to Match Scores,” IEEE Workshop on Biometric Privacy and Security, pp. 162–162, June 2006.
149. S. Nayak, S. Sarkar, and B. Loeding, “Unsupervised Modeling of Signs Embedded in Continuous Sentences,” IEEE Workshop on Vision for Human-Computer Interaction, vol. 3, pp. 81, June 2005.
150. P. K. Mohanty, S. Sarkar, R. Kasturi, “Designing Af?ne Transformations based Face Recognition Algorithms,” IEEE Workshop on Face Recognition Grand Challenge, vol. 3, pp. 173, June 2005.
151. S. Nayak, S. Sarkar, K. Sengupta, “Modeling Signs using Functional Data Analysis”, Indian Conference on Computer Vision, Graphics and Image Processing, Dec 2004.
152. Z. Liu and S. Sarkar, “Challenges in segmentation of human forms in outdoor video,” IEEE Workshop on Perceptual Organization in Computer Vision, June 2004.
153. Y. Zhang, D. Goldgof, S. Sarkar, “Signi?cance of Elastic Properties in Physics-based Nonrigid Motion Modeling, A Numerical Sensitivity Analysis,” IEEE Workshop on Articulated and Nonrigid Motion, June 2004.
154. Y. Zhang, D. B. Goldgof, S. Sarkar, “Towards Physically-Sound Registration Using Object-Speci?c Properties for Regularization,” International Workshop on Biomedical Image Registration, (published as Springer Lecture Notes in Computer Science 2717, ISBN 3-540-20343-5), pp. 358-366, 2003.
155. S. Sarkar, “Evaluation of Effectiveness of Incorporation of Computer Vision into Undergraduate Data Structures,” in IEEE Workshop on Combined Research-Curriculum Development in Computer Vision, Dec. 2001.
156. P. Soundararajan and S. Sarkar, “Empirical Evaluation of Graph Partitioning Measures for Perceptual Organization,” IEEE Workshop on Empirical Evaluation Methods in Computer Vision, 2001.
157. M. Powell, S. Sarkar, D. Goldgof, “Color Correction using Explicit Illumination Models, Color and Registered Range,” in IEEE Workshop on Photometric Modeling for Computer Vision and Graphics, pp. 64–71, June 1999.
158. S. Sarkar and D. B. Goldgof, “Integrating Undergraduate Level Data Structures Education and Image Computation,” in IEEE Computer Society Workshop on Undergraduate Education & Image Computation, June 1997.
159. L. Tsap, D. B. Goldgof, S. Sarkar, and P. Powers, “Experimental results of a vision-based burn scar assessment technique” in IEEE Workshop on Biomedical Image Analysis, Santa Barbara, pp. 193–201, June 1998.
160. L. Tsap, D. B. Goldgof, and S. Sarkar, “Human skin and hand motion analysis from range image sequences using non-linear FEM,” in IEEE Nonrigid and Articulated Motion Workshop, pp. 80–89, San Juan, Puerto-Rico, June 1997.
161. T. Sanocki, K. Bowyer, J. Adair, and S. Sarkar, “Are Real Edges Suf?cient for Object Recognition?” in Annual Meeting of the Association of Research in Vision and Opthalmology, May, 1995.
Abstract Refereed Papers and Presentations
162. R. Panchumarthy, D. Karunaratne, S. Sarkar, S. Bhanja, “Image Processing Tool to Characterize the Magnetic States of Nano-Magnetic Disks,” 12th Joint Magnetism and Magnetic Materials/InterMag Conference, Jan 2013.
163. S. Rajaram, D. Karunatne, S. Sarkjar, S. Bhanja, “Effect of Neighbor Interaction among Nano-Magnetic Disks,” 12th Joint Magnetism and Magnetic Materials/InterMag Conference, Jan 2013.
164. R. Krishnan, F. Souza, K. Duncan, S. Sarkar, B. Loeding,  “Sign Language Tutor,” Inaugural Conference of the National Academy of Inventors, Feb 2012.
165. A. Kumari, S. Bhanja, and S. Sarkar, “Study of Magnetization State Transition in Coupled Nanomagnet for Computation,” 55th Magnetism and Magnetic Materials Conference, Nov. 2010.
166. Z. Liu and S. Sarkar, “Outdoor biometrics over time by Fusing gait with face,” The Biometric Consortium Conference: Biometrics Research Symposium, Sept. 2004.
167. Z. Liu, L. Malave, A. Osuntugun, P. Sudhakar, and S. Sarkar, “Towards Understanding the Limits of Gait Recognition,” SPIE Defense and Security Symposium on Biometric Technology for Human Identi?cation, April 2004.
168. J. Byrne, A. Gandhe, R. Prasanth, B. Ravichandran, M. Huff, R. Mehra, S. Sarkar, S. K. Mitter, S. Casadei, “A k-partition, Graph Theoretic Approach to Perceptual Organization,” IEEE Conference on Integration of Knowledge Intensive Multi Agent Systems (KIMAS), pp. 336-342, Oct. 2003.
169. S. Sarkar, “An introduction to perceptual organization,” IEEE Conference on Integration of Knowledge Intensive Multi-Agent Systems, pp. 330–335, Oct. 2003.
170.  J. Byrne, et al. and S. Sarkar, “A k-partition, graph theoretic approach to perceptual organization,” IEEE Conference on Integration of Knowledge Intensive Multi-Agent Systems, pp. 336–342, Oct. 2003.
171. L. Zhou, S. Sarkar, D. Goldgof, D. Hilbelink, K. Muf?y, “Computer Aided Image Analysis on Human Skin Histology Images,” in FASEB:Experimental Biology, C225A, Orlando, Florida, April 2001 (abstract).
172. S. Sarkar, D. B. Goldgof, P. Powers, L. Tsap, M. Powell, “Objective Evaluation of Burn Scars using Computer Vision Techniques,” in Annual Meeting of the American Burn Association, pp. S165, March 1999. (Published as an issue of the Journal of the Burn Care and Rehabilitation, vol. 20, no. 1, part 2, Jan/Feb 1999.)
173. M. W. Powell, S. Sarkar, D. B. Goldgof, P. Powers, and W. C. Cruse, “Progress in color-texture assessment of burn scars,” in Annual Regional Burn Seminar, Southern Medical Association, Dec 1998.
174. S. Sarkar, L. Tsap, D. B. Goldgof, and P. Powers, “Progress in scar assessment,” in Tenth Annual Regional Burn Seminar, Southern Medical Association, Dec 1997.
175. S. Sarkar, P. Powers, K. Bowyer, “Facial Scar Assessment,” in Eighth Annual Regional Burn Seminar, Southern Medical Association, Nov 1995.

 



 

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