University of South Florida

To teach, to seek, and to learn

Books, Journal Papers, and Recent Conference Papers

(For a complete list of papers, please see the full resume)

The contributing authors include the documents contained in these directories as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

h-index =25 (Google Scholar), 18 (ISI) as of Jan 7, 2009,

(#citations listed only for articles contributing to this h-index)

Books

 

K. L. Boyer and S. Sarkar (eds), “Perceptual Organization for Artificial Vision Systems,” Kluwer Academic Publishers, 2000, ISBN: 079-23-7799-0.

S. Sarkar and K. L. Boyer, “Computing Perceptual Organization in Computer Vision,” World Scientific, 1994, ISBN: 981-02-1832-X.

 Journal Papers

1. 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, accepted Jan 2009

2. R. Yang and S. Sarkar, “Coupled Grouping and Matching for Sign and Gesture Recognition,” Computer Vision and Image Understanding, accepted Oct. 2008.

3. 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), accepted Aug. 2008.

4. S. Srivatsava, S. Sarkar, and S. Bhanja, “Estimation of Upper Bound of Power Dissipation in QCA Circuits,” IEEE Transactions on Nanotechnology, accepted July 2008.

5. 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, Dec. 2008.

6. 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.

7. S. Nayak, S. Sarkar, B. Loeding, “Distribution-based dimensionality reduction applied to articulated motion recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted Jan 2008.

8. 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, accepted Jan 2008.

9. 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.

10. 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.

11. 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.

12. 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. 

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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. 

19.  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. (168 Google Scholar, 98 ISI citations)

20. 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

21. 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.

22. 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.

23. 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

24. 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. (121 Google Scholar, 62 ISI citations)

25. 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.

26. 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.

27. 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.

28. 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. ( 38 Google Scholar,  24 ISI citations)

29. 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.

30. L. V. Tsap, D. B. Goldgof and S. Sarkar, “Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 5, pp. 526–543, May 2000.  (42 Google Scholar, 24 ISI citations)

31. 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. (87 Google Scholar, 54 ISI citations)

32. 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 Artificial Intelligence, vol. 14, no. 2, pp. 189–210, March 2000.

33. K. L. Boyer and S. Sarkar, “Perceptual Organization in Computer Vision: Status, Challenges, and Potential,” Guest Editorial in Computer Vision and Image Understanding, vol. 76, no. 1, pp. 1–5, Oct. 1999. (31 Google Scholar, 16 ISI citations)

34. 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. (30 Google Scholar, 22 ISI citations)

35. 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.

36. 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. (42 Google Scholar, 27 ISI citations)

37. 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. (26 Google Scholar, 24 ISI citations)

38. T. Sanocki, K. W. Bowyer, M. Heath, and S. Sarkar, “Are Edges Sufficient for Object Recognition,” in Journal of Experimental Psychology: Human Perception and Performance, vol. 24, no. 1, pp. 340–349, 1998. (35 Google Scholar, 18 ISI citations)

39. 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. (150 Google Scholar, 64 ISI citations)

40. L. V. Tsap, D. B. Goldgof, and S. Sarkar, “Efficient 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. (37 Google Scholar, 17 ISI citations)

41. 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. (156 Google Scholar, 81 ISI citations)

42. 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 Artificial Intelligence, vol. 12, no. 8, pp. 1071–1080, 1998.

43. 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. (251 Google Scholar, 145 ISI citations)

44. 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. (52 Google Scholar, 28 ISI citations)

45. 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.

46. 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. (44 Google Scholar, 29 ISI citations)

47. 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.

48. S. Sarkar and K. L. Boyer, “Perceptual Organization in Computer Vision: A Review and a proposal for a Classificatory Structure,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 23, no. 2, pp. 382–399, Mar. 1993. (139 Google Scholar, 80 ISI citations)

49. 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. (113 Google Scholar, 59 ISI citations)

50. 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.

51. S. Sarkar and K. L. Boyer, “On optimal infinite impulse response edge detection filters,”           in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no. 2, pp. 1154–1171, Nov. 1991. (102 Google Scholar, 67 ISI citations)

52. S. Sarkar and K. L. Boyer, “Optimal infinite 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. (50 Google Scholar, 50 ISI citations)

53. S. V. Raman, S. Sarkar, and K. L. Boyer, “Tissue boundary refinement in magnetic resonance images using contour-based scale space matching,” in IEEE Transactions on Medical Imaging, vol. 10, pp. 109–121, June 1991.

54. 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.

Recent Conference Papers

1. H. Vajaria, S. Sarkar, and R. Kasturi, “Clip Retrieval Using Multi-Modal Biometrics in Meeting Archives,” International Conference on Pattern Recognition,  Dec. 2008.

2.  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.

3. Z. Liu and S. Sarkar, “Robust Outdoor Text Detection Using Text Intensity and Shape Features,” International Conference on Pattern Recognition, Dec. 2008.

4. S. Sarkar and P. Mohanty, “Globally Linear Embedding of Biometric Scores: An Empirical Study, IEEE Conference on Biometrics: Theory, Applications, and Systems, May 2008.

5. 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.

6. 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.

7. Z. Liu and S. Sarkar, “Simplest Representation Yet for Gait Recognition: Averaged Silhouette,” International Conference on Pattern Recognition, Aug. 2004.  (36 Google Scholar citations)

8. P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. Bowyer, “The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm,” International Conference on Pattern Recognition, vol. 1, pp. 385–388, Aug 2002. (108 Google Scholar citations)

9. 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. (44 Google Scholar citations)

10. 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. (77 Google Scholar citations)