Publications

Book Chapters and Sections

• M. Tuceryan, R. Raje. “Distributed Heterogeneous Tracking for Augmented Reality Using Component-based Software Technologies.” Vol. 2, pp. 207–212, Encyclopedia of Mobile Computing and Commerce, David Taniar (ed.), Information Science Reference, 2007.
• M. Tuceryan and A. K. Jain, “Texture Analysis,” In Handbook of Pattern Recognition and Computer Vision, Second Edition, C. H. Chen, L. F. Pau, and P. Wang (editors), pp. 235 – 276, World Scientific Publishing, Co., 1998.
• N. Ahuja and M. Tuceryan, “Perceptual Organization of Dot Patterns,” Encyclopedia of Artificial Intelligence, vol. 1, pp. 253–256, S. Shapiro (ed.), Wiley, 1985.

Peer-reviewed Publications (Reverse chronological order)

• Ruwan Egoda Gamage; Abhishek Joshi; Jiang Y. Zheng; Mihran Tuceryan, “A 3D Impression Acquisition System for Forensic Applications” in Advances in Depth Image Analysis and Applications, Lecture Notes on Computer Science, v. 7854, Jiang, X.; Bellon, O.; Goldgof, D. & Oishi, T. (Eds.), Springer Berlin Heidelberg, pp. 9-20, 2013. DOI: 10.1007/978-3-642-40303-3_2
• Rybarczyk, R, Raje, R, Tuceryan, M, “eDOTS 2.0: A Pervasive Indoor Tracking System,” In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE'13), pp. 429-434, Boston, MA, 2013.
• Chouvatut, V.; Madarasmi, S. & Tuceryan, M. “3D face and motion estimation from sparse points using adaptive bracketed minimization,” Multimedia Tools and Applications, Springer US, vol. 63, pp. 569-589, 2013, DOI: 10.1007/s11042-011-0925-8
• Ruwan Egoda Gamage, Abhishek Joshi, Jiang Yu Zheng, Mihran Tuceryan. “A High Resolution 3D Tire and Footprint Impression Acquisition for Forensics Applications,” Proc. of Workshop on Applications of Computer Vision (WACV), Clearwater, Florida, pp. 317-322, January, 2013. DOI: 10.1109/WACV.2013.6475035
• 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.
• 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.
• 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.
• Jazayeri, A.; Cai, H.; Zheng, J. Y., Tuceryan, M. “Vehicle Detection and Tracking in Car Video Based on Motion Model,” IEEE Transactions on Intelligent Transportation Systems, 2011. DOI: 10.1109/TITS.2011.2113340. (in Press)
• 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, pp. S83–S89, 2011, DOI: 10.1111/j.1556-4029.2010.01571.x.
• A. Jazayeri, H. Cai, M. Tuceryan, and J.Y. Zheng, “Smart video systems in police cars”, Proceedings of the international conference on Multimedia, pp. 807–810, Firenze, Italy, October 25-29, 2010. DOI: 10.1145/1873951.1874084.
• 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.
• 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), pp. 493 – 499, San Diego, June 2010. DOI: 10.1109/IVS.2010.5548082.
• 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), Chicago, IL, 2010, pp. 95–100, DOI: 10.1109/ICNSC.2010.5461532.
• 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 11-13, 2010, ICISTM 2010, vol. 54, pp. 282–292, ISSN: 1865-0929 (Print) 1865-0937 (Online), DOI: 10.1007/978-3-642-12035-0_28.
• 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.
• 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.
• Glenn Flora, Mihran Tuceryan, Herbert 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.
• 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.
• Douglas S. Greer, Mihran Tuceryan, “Image Retrieval and Classification Using Associative Reciprocal-image Attractors.” in IEEE International Conference on Image Processing, pp. 713– 716, San Diego, CA, Oct, 2008. DOI: 10.1109/ICIP.2008.4711854.
• Girish G. Joshi, Rajeev R. Raje, Mihran Tuceryan, “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.
• Alex Leykin and Mihran Tuceryan, “Detecting Shopper Groups in Video Sequences,” In

Proceedings of the IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS 07), pp. 417–422, London, UK, September 2007. DOI: 10.1109/AVSS.2007.4425347.

• Jiandong Fang, Shiaofen Fang, Jeffrey Huang, M. Tuceryan, “Digital Geometry Image Analysis for Medical Diagnosis,” In Proc. ACM Symposium on Applied Computing, pp. 216–220, Dijon, France, 2006. DOI: 10.1145/1141277.1141327.
• S. H. Liu, B. R. Bryant, J. Gray, R. Raje, M. Tuceryan, A. Olson, M. Auguston. “QoSPL: A QoS-Driven Software Product Line Engineering Framework for Distributed Real-time and Embedded Systems.” pp.724–729, In Proceedings of First International Workshop on Evaluation and Evolution of Component Composition (held at SEKE ’06), San Francisco, CA, USA, July, 2006.
• 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.
• S. H. Liu, B. R. Bryant, M. Auguston, J. Gray, R. Raje, M. Tuceryan. “A Component-Based Approach for Constructing High-Confidence Distributed Embedded Systems.” LNCS, Springer Verlag, Vol.4322, pp.225–247, 2005. DOI: 10.1007/978-3-540-71156-8_12.
• 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.
• 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.
• 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.
• M. Tuceryan, Y. Genc, and N. Navab, “Single point active alignment method (SPAAM) for optical see-through HMD calibration for augmented reality,” Presence: Teleoperators and Virtual Environments, vol. 11, no. 3, pp. 259-276, June 2002. DOI: 10.1162/105474602317473213.
• 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 30Oct 1, 2002. DOI: 10.1109/ISMAR.2002.1115086.
• 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.
• 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.
• 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 30June 1, 2001.
• Mihran Tuceryan, Nassir Navab, “Single point active alignment method (SPAAM) for optical see-through HMD calibration for AR,” in Proceedings of IEEE and ACM International Symposium on Augmented Reality (ISAR 2000), pp. 149–158, 2000. DOI: 10.1109/ISAR.2000.880938.
• Shiaofen Fang, Yi Dai, Frederick Myers, Mihran Tuceryan, and Kenneth 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.
• R. L. Hsu, A. K. Jain, and Mihran Tuceryan, “Multiresolution Model Compression Using 3D Wavelets,” In Proceedings of the Asian Conference on Computer Vision (ACCV), pp. 74–79, Jan 8– 11, 2000, Taipei, Taiwan, 2000.
• E. McGarrity and Mihran Tuceryan, “A Method for Calibrating See-through Head-mounted Displays for AR,” In Second IEEE and ACM International Workshop on Augmented Reality (IWAR) ’99. pp. 75–84, October, 1999. DOI: 10.1109/IWAR.1999.803808.
• S. Fang, T. Biddlecom, Mihran Tuceryan, “Image-Based Transfer Function Design for Data Exploration in Volume Visualization,” Proc. IEEE Visualization’98, pp. 319-326. DOI: 10.1109/VISUAL.1998.745319.
• T. Biddlecome, S. Fang, K. Dunn, M. Tuceryan, “Image guided interactive volume visualization for confocal microscopy data exploration,” SPIE International Symposium on Medical Imaging, pp. 130-140, Feb., 1998. DOI: 10.1117/12.312486.
• Gudrun J. Klinker, Klaus H. Ahlers, David E. Breen, Pierre-Yves Chevalier, Chris Crampton, Douglas S. Greer, Dieter Koller, Andre Kramer, Eric Rose, M. Tuceryan, Ross Whitaker, “Confluence of Computer Vision and Interactive Graphics for Augmented Reality,” in PRESENCE: Teleoperators and Virtual Environments, Special Issue on Augmented Reality, pp. 433–451, 1997.
• M. Davis and M. Tuceryan, “Coding of Facial Image Sequences by Model-Based Optical Flow,” in Proceedings of the International Workshop on Synthetic-Natural Hybrid Coding and Three Dimensional Imaging (IWSNHC3DI’97), pp. 192-194, September 5-9, 1997, Rodos-Palace, Rhodes, Greece.
• D. Koller, G. Klinker, E. Rose, D. Breen, R. Whitaker, M. Tuceryan, “Real-time Vision-Based Camera Tracking for Augmented Reality Applications,” in Proceedings of the Symposium on Virtual Reality Software and Technology (VRST-97), Lausanne, Switzerland, September 15-17, 1997. DOI: 10.1145/261135.261152.
• D. Koller, G. Klinker, E. Rose, D. Breen, R. Whitaker, M. Tuceryan, “Automated Camera Calibration and 3D Egomotion Estimation for Augmented Reality Applications,” in Computer Analysis of Images and Patterns, pp. 199–206, G. Sommer, K. Daniilidis, and J. Pauli (eds.), Lecture Notes in Computer Science 1296, Springer-Verlag, Berlin, Heidelberg, New York. DOI: 10.1007/3-540-63460-6_118.
• 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
• M. Tuceryan, D. S. Greer, D. E. Breen, R. T. Whitaker, C. Crampton, E. Rose, and K. Ahlers, “Calibration Requirements and Procedures for a Monitor-Based Augmented Reality System,” In IEEE Transactions on Visualization and Computer Graphics, vol. 1, no. 3, pp. 255–273, September 1995. DOI: 10.1109/TVCG.1995.1
• 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.
• R. T. Whitaker, C. Crampton, D. E. Breen, M. 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.
• K. Ahlers, A. Kramer, D. Breen, P.-Y. Chevalier, C. Crampton, E. Rose, M. Tuceryan, R. Whitaker, and D. 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
• E. Rose, D. Breen, K. Ahlers, C. Crampton, M. Tuceryan, R. T. Whitaker, and D. Greer, “Annotating Real-World Objects Using Augmented Vision,” in Proc. of Computer Graphics International ’95, Leeds, UK.
• 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.
• K. Ahlers, D. E. Breen, C. Crampton, E. Rose, M. Tuceryan, R. T. Whitaker, and D. Greer, “Augmented Vision System for Industrial Applications,” in Proceedings of SPIE Conference on Intelligence Robots and Computer Vision, Telemanipulator and Telepresence Technologies, Nov. 1994, Boston, MA.
• 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.
• M. Tuceryan, “Moment Based Texture Segmentation,” in Proceedings of 11th International Conference on Pattern Recognition, Conference C: Image, Speech, and Signal Analysis, vol. III, pp. 45–48, The Hague, Netherlands, August 1992. DOI: 10.1109/ICPR.1992.201924.
• M. Tuceryan, A. K. Jain, and N. Ahuja, “Supervised Classification of Early Perceptual Structure in Dot Patterns,” in Proceedings of 11th International Conference on Pattern Recognition, Conference B: Pattern Recognition Methodologies and Systems, vol. II, pp. 88-91, The Hague, Netherlands, August 1992. DOI: 10.1109/ICPR.1992.201728.
• M. Tuceryan and T. Chorzempa, “Relative Sensitivity of a Family of closest point graphs in computer vision applications,” Pattern Recognition, vol. 24, no. 5, pp. 361–373, 1991. DOI: 10.1016/0031-3203(91)90050-F.
• D. Trytten and M. Tuceryan, “Segmentation and Grouping of Object Boundaries Using Energy Minimization,” in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 730–731, Maui, 1991. DOI: 10.1109/CVPR.1991.139803.
• 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.
• N. S. Raja, M. Tuceryan, and A. K. Jain, “Texture Segmentation on two high-performance computers,” in Proceedings of the 10th International Conference on Pattern Recognition, vol. 2, pp. 601–605, Atlantic City, New Jersey, June 1990. Pattern Recognition, 1990. DOI: 10.1109/ICPR.1990.119439.
• M. Tuceryan and A. K. Jain, “Segmentation and Grouping of Object Boundaries,” in Proceedings of the 1989 IEEE International Conf. on Systems, Man, and Cybernetics, pp. 570–575, November 14-17, 1989, Cambridge, MA. DOI: 10.1109/ICSMC.1989.71361.
• 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.
• M. Tuceryan, A. K. Jain, and Y. Lee, “Texture Segmentation Using Voronoi Polygons,” in Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition, pp. 94–99, Ann Arbor, MI, June 1988. DOI: 10.1109/CVPR.1988.196220.
• M. Tuceryan, A. K. Jain, and Y. Lee, “Extracting Perceptual Structures in Line Patterns,” in Proceedings of the 5th Scandinavian Conference on Image Analysis, pp. 531–538, June 1987.
• M. Tuceryan and N. Ahuja, “Perceptual Grouping of Dot Patterns,” in Proceedings of the SPIE Conf. on Optical and Digital Pattern Recognition, January 13-15, 1987, Los Angeles, CA.
• M. Tuceryan and N. Ahuja, “Extracting Perceptual Structure in Dot Patterns,” in Proceedings of the 1985 IEEE Workshop on Languages for Automation: Cognitive Aspects in Information Processing, June 28-29, 1985, Palma de Mallorca, Spain.
• M. Tuceryan and N. Ahuja, “Perceptual Segmentation of Nonhomogeneous Dot Patterns,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 47–52, June 19-23, 1983, Washington, DC, USA.
• M. Tuceryan and N. Ahuja, “Segmentation of Dot Patterns Containing Homogeneous Clusters,” in Proceedings of 6th International Conference on Pattern Recognition, pp. 392–394, Oct. 19-22, 1982, Munich, Germany.

​Abstracts or Invited Conference Papers

• Mihran Tuceryan, Herbert 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)
• N. Ahuja and M. Tuceryan, “Representing Geometric Structure in Dot Patterns,” in Proceedings of Geobild ’85, Georgenthal, DDR, January 14-18, 1985.