Mihran Tuceryan's selected publications

  1. Chouvatut, V.; Madarasmi, S. & Tuceryan, M. “3D Face and Motion from Feature Points Using Adaptive Constrained Minima,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E94.A, pp. 2207-2219, 2011, DOI: 10.1587/transfun.E94.A.2207 .

  2. Chouvatut, V.; Madarasmi, S. & Tuceryan, M. “3D face and motion estimation from sparse points using adaptive bracketed minimization,” Multimedia Tools and Applications, Springer Netherlands, pp. 1-21, 2011, DOI: 10.1007/s11042-011-0925-8.

  3. Ryan Rybarczyk, Rajeev Raje, Mihran Tuceryan, “Enhancing a Distributed Tracking System,” Proceedings of 3rd International Joint Conference on Information and Communication Technology (IJcICT- 2011), 7 pages, Mumbai, India, 2011.

  4. Amirali Jazayeri; Hongyuan Cai; Jiang Yu Zheng, Mihran Tuceryan “Vehicle Detection and Tracking in Car Video Based on Motion Model” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 2, pp. 583-595, June, 2011. DOI: 10.1109/TITS.2011.2113340.

  5. Mihran Tuceryan, Fang Li, Herbert L. Blitzer, Edwin T. Parks, Jeffrey A. Platt, A Framework for Estimating Probability of a Match in Forensic Bite Mark Identification, Journal of Forensic Sciences, vol. 56, no. S1, pp. S83-S89, 2011, DOI: 10.1111/j.1556-4029.2010.01571.x

  6. Ryan Rybarczyk, Rajeev Raje, Mihran Tuceryan, “e-DTS 2.0 - A next-generation of a Distributed Tracking System,” in Proceedings of the International Conference on “On Demand Computing” (ICODC-2010), pp. 140-149, Bangalore, India. Nov. 3-4, 2010.

  7. Amirali Jazayeri, Hongyuan Cai, Mihran Tuceryan, Jiang Yu Zheng, “Smart Video Systems in Police Cars,” 2010 ACM Multimedia Conference (MM 2010), pp. 807-810, Firenze, Italy, October 2010. DOI: 10.1145/1873951.1874084;

  8. Amirali Jazayeri, Hongyuan Cai, Jiang Yu Zheng, Mihran Tuceryan, “Identifying Vehicles in In-Car Video Based on Motion Model,” IEEE Intelligent Vehicles Symposium (IV 2010), San Diego, June 2010. DOI: 10.1109/IVS.2010.5548082

  9. Omkar Tilak, Snehasis Mukhopadhyay, Mihran Tuceryan, and Rajeev Raje, “A Novel Reinforcement Learning Framework for Sensor Subset Selection,” in Proceedings of the 2010 IEEE International Conference on Networking, Sensing, and Control (ICNSC 2010), pp. 95-100, Chicago, IL, 2010. DOI: 10.1109/ICNSC.2010.5461532

  10. Varin Chouvatut, Suthep Madarasmi, and Mihran Tuceryan, “3D Reconstruction and Camera Pose from Video Sequence Using Multi-dimensional Descent,” in 4th International Conference on Information Systems, Technology and Management, Bangkok, Thailand, March 10-12, 2010, ICISTM 2010, pp. 282-292, also in book series: Communications in Computer and Information Science (CCTS) v. 54, Springer Verlag, Berlin, Prasad, S. K.; Vin, H. M.; Sahni, S.; Jaiswal, M. P. & Thipakorn, B. (eds.) DOI: 10.1007/978-3-642-12035-0_28

  11. Varin Chouvatut, Suthep Madarasmi, and Mihran Tuceryan, “Face Reconstruction and Camera Pose Using Multi-dimensional Descent,” in Proceedings of the International Conference on Computer, Electrical, and Systems Science, and Engineering (CESSE 2009 ), World Academy of Science, Engineering and Technology, Volume 60, December 2009, pp. 730-735, Bangkok, Thailand, December 25-27, 2009, ISSN: 2070-3724.

  12. Adebayo Olowoyeye, Mihran Tuceryan, Shiaofen Fang, “Medical Volume Segmentation using Bank of Gabor Filters,” in Proceedings of the 24th Annual ACM Symposium on Applied Computing (SAC), Honolulu, Hawaii, pp. 826-830, March 2009. DOI: 10.1145/1529282.1529458

  13. Glenn Flora, Mihran Tuceryan, Herb Blitzer, “Forensic Bite Mark Identification Using Image Processing Methods,” in Proceedings of the 24th Annual ACM Symposium on Applied Computing (SAC), pp. 903-907, Honolulu, Hawaii, March 2009. DOI: 10.1145/1529282.1529479

  14. Amirali Jazayeri, Hongyuan Cai, Jiang Yu Zheng, Mihran Tuceryan, Herbert Blitzer, “An Intelligent Video System for Vehicle Localization and Tracking in Police Cars,” in Proceedings of the 24th Annual ACM Symposium on Applied Computing (SAC), pp. 939-940, Honolulu, Hawaii, March 2009. doi: 10.1145/1529282.1529486

  15. Mihran Tuceryan, Herb Blitzer, Fang Li, Edwin T. Parks, Jeffrey A. Platt, and Glenn Flora, “Use of 3-D Imaging and Mathematics in Assigning the Probability of a Match Between a Dental Model and a Bite Mark,” in Proceedings of the American Academy of Forensic Sciences, Denver, Colorado, Feb 2009. (Abstract)

  16. D. S. Greer, M. Tuceryan (2008). “Image Retrieval and Classification Using Associative Reciprocal-image Attractors.” IEEE International Conference on Image Processing, pp. 713-716, San Diego, CA, Oct, 2008. DOI: 10.1109/ICIP.2008.4711854

  17. Girish G. Joshi, Rajeev R. Raje, Mihran Tuceryan (2008), “Designing and Experimenting with a Distributed Tracking System,” in 14th Intl Conference on Parallel and Distributed Systems, pp. 64-71, Melbourne, Australia, Dec 2008. DOI: 10.1109/ICPADS.2008.103

  18. Alex Leykin and Mihran Tuceryan (2007). Detecting Shopper Groups in Video Sequences, in Proceedings of the IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS 2007), pp. 417-422, London, UK, September 2007. DOI: 10.1109/AVSS.2007.4425347

  19. Jiandong Fang, Shiaofen Fang, Jeffrey Huang, and Mihran Tuceryan (2006). Digital geometry image analysis for medical diagnosis. In Proceedings of the 2006 ACM symposium on Applied computing (SAC '06). ACM, New York, NY, USA, pp. 217-221. DOI: 10.1145/1141277.1141327

  20. Alex Leykin and Mihran Tuceryan “A Vision System for Automated Customer Tracking for Marketing Analysis: Low Level Feature Extraction.” In Proc. of the International Workshop on Human Activity Recognition and Modelling, pp. 1-7, Oxford, UK, September 2005.

  21. A. Leykin, F.Cutzu and M.Tuceryan “Using Multiple Views To Resolve Human Body Tracking Ambiguities.” in Proc. of British Machine Vision Conference (BMVC 2004), pp. 217-226, Sept 7-9, 2004, London, UK.

  22. A. Leykin and M. Tuceryan “Automatic determination of text readability over textured backgrounds for augmented reality systems” in Proc. of the IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2004), pp. 224-230, Nov 2-5, 2004, Washington, DC. DOI: 10.1109/ISMAR.2004.22

  23. A. Leykin and M. Tuceryan, “Determining text readability over textured backgrounds in augmented reality systems,” in Proceedings of the ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI 2004), pp. 436-439, Singapore, June 16-18, 2004. DOI: 10.1145/1044588.1044683

  24. Y. Genc, M. Tuceryan, and N. Navab, “Practical Solutions for Calibration of Optical See-through Devices,” in Proceedings of the IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR '02), pp. 169-175, Darmstadt, Germany, Sept 30-Oct 1, 2002. DOI: 10.1109/ISMAR.2002.1115086

  25. M. Tuceryan, Y. Genc, and N. Navab, “Single point active alignment method (SPAAM) for optical see-through HMD calibration for augmented reality,” in Presence: Teleoperators and Virtual Environments, pp. 259-276, vol. 11, no. 3, June 2002. DOI: 10.1162/105474602317473213

  26. Y. Genc, M. Tuceryan, A. Khamene, and N. Navab, “Optical see-through calibration with vision-based trackers: propagation of projection matrices,” In Proceedings of the IEEE and ACM International Symposium on Augmented Reality, pp. 147-156, New York, NY, October 2001. DOI: 10.1109/ISAR.2001.970524

  27. E. McGarrity, Y. Genc, M. Tuceryan, C. Owen, and N. Navab, “A new system for online quantitative evaluation of optical see-through augmentation,” In Proceedings of the IEEE and ACM International Symposium on Augmented Reality, pp. 157-166, New York, NY, October 2001. DOI: 10.1109/ISAR.2001.970525

  28. E. McGarrity, M. Tuceryan, C. Owen, Y. Genc, and N. Navab, “Evaluation of Optical See-Through Systems,” In Proceedings of Euroimage International Conference on Augmented, Virtual Environments and Three-Dimensional Imaging (ICAV3D), pp. 18-21, Mykonos, Greece May 30-June 1, 2001.

  29. Y. Genc, F. Sauer, F. Wenzel, M. Tuceryan, and N. Navab, “Optical See-Through HMD Calibration: A Novel Stereo Method Validated with a Video See-Through System,” in Proceedings of the IEEE and ACM International Symposium on Augmented Reality, pp. 165-174, Munich, Germany, October, 2000. DOI: 10.1109/ISAR.2000.880940

  30. M. Tuceryan and N. Navab, “Single Point Active Alignment Method (SPAAM) for Optical See-through HMD Calibration for AR,” in Proceedings of the IEEE and ACM International Symposium on Augmented Reality, pp. 149-158, Munich, Germany, October, 2000. DOI: 10.1109/ISAR.2000.880938

  31. S. Fang, Y. Dai, F. Myers, M. Tuceryan, and K. Dunn, “Three-Dimensional Microscopy Data Exploration by Interactive Volume Visualization,” in Journal of Scanning Microscopies, vol. 22, no. 3, pp. 218-226, July/August 2000. DOI: 10.1002/sca.4950220310.

  32. Erin McGarrity and Mihran Tuceryan, “A Method for Calibrating See-through Head-mounted Displays for AR,” in the Proceedings of the 2nd IEEE International Workshop on Augmented Reality (IWAR 99), San Francisco, CA, Oct 20-21, 1999. DOI: 10.1109/IWAR.1999.803808

  33. Shiaofen Fang, Tom Biddlecome and Mihran Tuceryan, “Image-Based Transfer Function Design for Data Exploration in Volume Visualization,” In Proc. IEEE Visualization'98 Conference, pp. 319-326, Research Triangle Park, NC, October 1998. DOI: 10.1109/VISUAL.1998.745319

  34. T. Biddlecome, Shiaofen Fang, Kenneth Dunn and Mihran Tuceryan, “Image-guided interactive volume visualization for confocal microscopy data exploration,” Proc. SPIE International Symposium on Medical Imaging, vol. 3335, pp. 130-140, 1998. DOI: 10.1117/12.312486

  35. M. Davis and M. Tuceryan, “Coding of Facial Image Sequences by Model-Based Optical Flow,” in International Workshop on Synthetic-Natural Hybrid Coding and Three Dimensional Imaging (IWSNHC3DI'97), September 5-9, 1997, Rodos-Palace, Rhodes, Greece.

  36. D. Koller, G. Klinker, E. Rose, D. Breen, R. Whitaker, M. Tuceryan, “Real-time Vision-Based Camera Tracking for Augmented Reality Applications,” in the Proceedings of the Symposium on Virtual Reality Software and Technology (VRST-97), pp. 87-94, Lausanne, Switzerland, September 15-17, 1997. DOI: 10.1145/261135.261152

  37. D. Koller, G. Klinker, E. Rose, D. Breen, R. Whitaker, M. Tuceryan, “Automated Camera Calibration and 3D Egomotion Estimation for Augmented Reality Applications,” in Proceedings of the CAIP '97, 7th International Conference Computer Analysis of Images and Patterns, pp. 199-206, Kiel, Germany, September 10-12, 1997. DOI: 10.1007/3-540-63460-6_118

  38. D. E. Breen, R. T. Whitaker, E. Rose, and M. Tuceryan, “Interactive Occlusion and Automatic Object Placement for Augmented Reality,” In Proc. of Eurographics '96 Conference, pp. 11-22, Poitiers, France, August 26-30, 1996. DOI: 10.1111/1467-8659.1530011

  39. Gudrun J. Klinker, Klaus H. Ahlers, David E. Breen, Pierre-Yves Chevalier, Chris Crampton, Douglas S. Greer, Dieter Koller, Andre Kramer, Eric Rose, Mihran Tuceryan, Ross Whitaker, “Confluence of Computer Vision and Interactive Graphics for Augmented Reality,” in Presence, Special Issue on Augmented Reality, 1997. (PDF)

  40. Mihran Tuceryan, Douglas S. Greer, Ross T. Whitaker, David Breen, Chris Crampton, Eric Rose, and Klaus H. Ahlers, “Calibration Requirements and Procedures for a Monitor-Based Augmented Reality System,” IEEE Transactions on Visualization and Computer Graphics, vol. 1, no. 3, pp. 255-273, September 1995. DOI: 10.1109/TVCG.1995.1

  41. Mihran Tuceryan, Douglas S. Greer, Ross T. Whitaker, David Breen, Chris Crampton, Eric Rose, and Klaus H. Ahlers, “Calibration Requirements and Procedures for Augmented Reality,” ECRC-95-14, 1995. (A revised version appeared in the journal IEEE Trans. on Visualization and Computer Graphics, September 1995 issue). (PDF)

  42. Ross T. Whitaker, Chris Crampton, David E. Breen, Mihran Tuceryan, and E. Rose, “Object Calibration for Augmented Reality,” Computer Graphics Forum, vol. 14, no. 3, pp. 15–27, 1995. DOI: 10.1111/j.1467-8659.1995.cgf143_0015.x

  43. Klaus H. Ahlers, Andre Kramer, David E. Breen, Pierre-Yves Chevalier, Chris Crampton, Eric Rose, Mihran Tuceryan, Ross T. Whitaker, and Douglas S. Greer, “Distributed Augmented Reality for Collaborative Design Applications,” Computer Graphics Forum, vol 14, no. 3, pp. 3–14, 1995. DOI: 10.1111/j.1467-8659.1995.cgf143_0003.x

  44. Eric Rose, David Breen, Klaus Ahlers, Chris Crampton, Mihran Tuceryan, Ross Whitaker, and Douglas Greer, “Annotating Real-World Objects Using Augmented Reality,” Technical Report #ECRC-94-41, European Computer-Industry Research Centre (ECRC), Munich, Germany, 1994. (Also appeared in Computer Graphics: Developments in Virtual Environments (CGI '95 Proceedings), pp. 357-370, June 1995.) (PDF)

  45. Klaus Ahlers, David Breen, Chris Crampton, Eric Rose, Mihran Tuceryan, Ross Whitaker, and Douglas Greer, “An Augmented Vision System for Industrial Applications,” Telemanipulator and Telepresence Technologies, SPIE, vol. 2351, pp. 345-359, 1995.

  46. K. Ahlers, Chris Crampton, Douglas Greer, Eric Rose, and Mihran Tuceryan, Augmented Vision: A technical introduction to Grasp 1.2 system, Technical Report # ECRC-94-14, European Computer-Industry Research Centre (ECRC), Munich, Germany, 1994. (PDF)

  47. D. Trytten and M. Tuceryan, “The Construction of Labeled Line Drawings from Intensity Images.” In Pattern Recognition Journal, vol. 28, no. 2, pp. 171–198, 1995. DOI: 10.1016/0031-3203(94)00098-7.

  48. M. Tuceryan and A. K. Jain, “Texture Analysis,” In The Handbook of Pattern Recognition and Computer Vision (2nd Edition), by C. H. Chen, L. F. Pau, P. S. P. Wang (eds.), pp. 207-248, World Scientific Publishing Co., 1998. (Book Chapter)

  49. N. Ahuja and M. Tuceryan, ``Perceptual Organization of Dot Patterns,'' Encyclopedia of Artificial Intelligence, vol. 1, pp. 253-256, S. Shapiro (ed.), Wiley, 1985. (Book Chapter)

  50. M. Tuceryan, “Moment Based Texture Segmentation.” in Pattern Recognition Letters, vol. 15, no. 7, pp. 659–668, July 1994. DOI: 10.1016/0167-8655(94)90069-8.

  51. S. Pankanti, A. K. Jain, and M. Tuceryan, “On Integration of Vision Modules,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 316–322, 1994. DOI: 10.1109/CVPR.1994.323846.

  52. M. Tuceryan and T. Chorzempa, "Relative Sensitivity of a Family of closest point graphs in computer vision applications," Pattern Recognition Journal, vol. 24, no. 5, pp. 361-373, 1991. DOI: 10.1016/0031-3203(91)90050-F

  53. M. Tuceryan and A. K. Jain, “Texture Segmentation Using Voronoi Polygons,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. PAMI-12, pp. 211–216, February, 1990. DOI: 10.1109/34.44407

  54. N. Ahuja and M. Tuceryan, “Extraction of Early Perceptual Structure in Dot Patterns: Integrating Region, Boundary, and Component Gestalt,” Computer Vision, Graphics, and Image Processing, vol. 48, pp. 304–356, December 1989. DOI: 10.1016/0734-189X(89)90146-1.


Last Modified: 02/12/12