Publications

Book Chapters and Sections

  1. 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.

  2. 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.

  3. 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

  1. Troutman, B., & Tuceryan, M. (2022). Registration and Localization of Unknown Moving Objects in Monocular SLAM. The 2nd IEEE International Conference on Intelligent Reality, IEEE Press, pp. 43-48. https://doi.org/10.1109/ICIR55739.2022.00025

  2. Troutman, B., & Tuceryan, M. (2022). Towards Dynamic Realtime Object Labeling in Augmented Reality. The 2nd IEEE International Conference on Intelligent Reality, IEEE Press, pp. 49-53. https://doi.org/10.1109/ICIR55739.2022.00026

  3. Troutman, Blake, Tuceryan, Mihran (2022). Rapid Structure from Motion Frame Selection for Markerless Monocular SLAM. In: Galambos, P., Kayacan, E., Madani, K. (eds) Robotics, Computer Vision and Intelligent Systems. ROBOVIS 2020 ROBOVIS 2021. Communications in Computer and Information Science, vol 1667. pp. 172-189, Springer, Cham. https://doi.org/10.1007/978-3-031-19650-8_9

  4. Troutman, Blake and Tuceryan, M (2021). Towards Fast and Automatic Map Initialization for Monocular SLAM Systems. In Proceedings of the 2nd International Conference on Robotics, Computer Vision and Intelligent Systems (ROBOVIS 2021). (pp. 22-30), SCITEPRESS – Science and Technology Publications, Lda. https://doi.org/10.5220/0010640600003061.

  5. Alhakamy, A’aeshah and Tuceryan, M. (2020). Physical Environment Reconstruction Beyond Light Polarization for Coherent Augmented Reality Scene on Mobile Devices. In M. L. Gavrilova, C. J. K. Tan, J. Chang, & N. M. Thalmann (Eds.), Transactions on Computational Science XXXVII: Special Issue on Computer Graphics (pp. 19-38). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-61983-4_2

  6. Tuceryan, M., Hemmady, A., Schebler, C., Alex, A., & Bhatwadekar, A. (2020). Automated computer-based enumeration of acellular capillaries for assessment of diabetic retinopathy. SPIE Medical Imaging, 11317, pp. 151 - 156. https://doi.org/10.1117/12.2543400

  7. Gawrieh, S., Sethunath, D., Cummings, O. W., Kleiner, D. E., Vuppalanchi, R., Chalasani, N., & Tuceryan, M. (2020). Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD. Annals of Diagnostic Pathology, 47, 151518. doi:10.1016/j.anndiagpath.2020.151518

  8. Alhakamy, A’aeshah, and Tuceryan, M. (2020). Real-time Illumination and Visual Coherence for Photorealistic Augmented/Mixed Reality. ACM Computing Surveys, 53(3), 1-34. doi:10.1145/3386496

  9. Alhakamy, A’aeshah and Tuceryan, M. (2019). An Empirical Evaluation of the Performance of Real-Time Illumination Approaches: Realistic Scenes in Augmented Reality. In 6th International Conference on Augmented Reality, Virtual Reality and Computer Graphics (AVR 2019), Lecture Notes on Computer Science (Vol. 11614, pp. 179-195). Salento, Italy: Springer International Publishing. Doi: 10.1007/978-3-030-25999-0_16;

  10. Alhakamy, A’aeshah and Tuceryan, M. (2019) Polarization-Based Illumination Detection for Coherent Augmented Reality Scene Rendering in Dynamic Environments. In: Gavrilova M., Chang J., Thalmann N., Hitzer E., Ishikawa H. (eds) Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science, vol 11542. Springer, Cham, doi: 10.1007/978-3-030-22514-8_1

  11. Alhakamy,A’aeshah and Tuceryan, M. (2019, 11-14 April 2019). CubeMap360: Interactive Global Illumination for Augmented Reality in Dynamic Environment. 2019 SoutheastCon, pp. 1-8. https://doi.org/10.1109/SoutheastCon42311.2019.9020588

  12. Alhakamy, A’aeshah and M. Tuceryan. "AR360: Dynamic Illumination for Augmented Reality with Real-Time Interaction." 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT), 14-17 March 2019 2019, pp. 170-174. doi:10.1109/INFOCT.2019.8710982;

  13. Allam, E., Mpofu, P., Ghoneima, A., Tuceryan, M., and Kula, K. (2018). "The Relationship Between Hard Tissue and Soft Tissue Dimensions of the Nose in Children: A 3D Cone Beam Computed Tomography Study." J Forensic Sci 63(6): 1652-1660. DOI: 10.1111/1556-4029.13801

  14. Sethunath D, Morusu S, Tuceryan M, Cummings OW, Zhang H, Yin XM, et al. Automated assessment of steatosis in murine fatty liver. PLoS One. 2018;13(5):e0197242. Epub 2018/05/11. doi: 10.1371/journal.pone.0197242. PubMed PMID: 29746543; PubMed Central PMCID: PMCPMC5945052.

  15. R. Egodagamage and M. Tuceryan, "Distributed monocular visual SLAM as a basis for a collaborative augmented reality framework," Computers & Graphics, vol. 71, pp. 113-123, 2018. 10.1016/j.cag.2018.01.002

  16. R. Egodagamage and M. Tuceryan, "A Collaborative Augmented Reality Framework Based on Distributed Visual Slam," 2017 International Conference on Cyberworlds (CW), Chester, United Kingdom, 2017, pp. 25-32. doi: 10.1109/CW.2017.47

  17. Egodagamage, R. and M. Tuceryan (2017). "Distributed Monocular SLAM for Indoor Map Building." Journal of Sensors 2017: 11 pages. In Special issue on Indoor Tracking, Mapping, and Navigation: Algorithms, Technologies, and Applications. doi: 10.1155/2017/6842173

  18. Egoda Gamage, R. and M. Tuceryan (2017). A distributed framework for monocular visual SLAM. Proceedings of the 28th Modern Artificial Intelligence and Cognitive Science Conference (MAICS). CEUR Workshop Proceedings, Vol-1964, ISSN 1613-0073, Fort Wayne, IN, p. 55-61.

  19. Dankwa B, Vijayan R, Sanghavi D, Tuceryan M, Raje RR. Trust in Vehicle-to-Vehicle Communication. ABLAZE 2017- 2nd International Conference on Futuristic Trends in Computational Analysis and Knowledge Management; March 16-17; Amity University. International Journal of Scientific & Engineering Research, 2017. p. 1-6.

  20. Gamage, Ruwan, and Mihran Tuceryan. 2016. "An experimental distributed framework for distributed Simultaneous Localization and Mapping." In 2016 IEEE International Conference on Electro Information Technology (EIT), 0665-67. doi: 10.1109/EIT.2016.7535318

  21. Rybarczyk, R., R. Raje, and M. Tuceryan, Infusing trust in indoor tracking: poster, in Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems. 2016, ACM: Irvine, California. p. 374-377. (Poster paper)

  22. A. Harris, A. Durresi, M. Tuceryan, and T. S. Hannon, "Integrated and Personalized Diabetes Coach for Children," in 2015 IEEE 29th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2015, pp. 31-35. DOI: http://dx.doi.org/10.1109/WAINA.2015.120.

  23. Aboli Phadke, Ryan Rybarczyk, Rajeev R. Raje, Mihran Tuceryan, “Incorporating Mobile Devices in Indoor Tracking,” 3rd International Conference On Network Infrastructure Management Systems, Mumbai, India, 2014.

  24. 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

  25. 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.

  26. 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

  27. 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

  28. 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 .

  29. 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.

  30. 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, vol. 12, no. 2, pp. 585-595, June 2011. doi: 10.1109/TITS.2011.2113340.

  31. 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

  32. 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.

  33. 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 (pdf)

  34. Amirali Jazayeri, Hongyuan Cai, Jiang Yu Zheng, Mihran Tuceryan, “Motion Based Vehicle Identification in Car Video,” IEEE Intelligent Vehicles Symposium (IV 2010), San Diego, June 2010. doi: 10.1109/IVS.2010.5548082

  35. 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

  36. 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

  37. 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.

  38. 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

  39. 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

  40. 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. (Poster paper) DOI: 10.1145/1529282.1529486

  41. 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)

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

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

  44. 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

  45. 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

  46. 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.

  47. 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.

  48. 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, In Proceedings of the Monterey Workshop Series, 2005 Theme: Workshop on Networked Systems: Realization of Reliable Systems on Top of Unreliable Networked Platforms, Laguna Beach, CA, USA, September, 2005. DOI: 10.1007/978-3-540-71156-8_12

  49. 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

  50. 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.

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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.

  57. Shiaofen Fang, Mihran Tuceryan and Ken Dunn, “Three-Dimensional Microscopy Data Exploration by Interactive Volume Visualization,” Journal of Scanning Microscopies, vol. 22, pp. 218–226, July/August 2000. DOI: 10.1002/sca.4950220310

  58. 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

  59. 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

  60. 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) 2000, pp. 74-79, Jan 8-11, 2000, Taipei, Taiwan.

  61. 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), pp. 75-84, San Francisco, CA, Oct 20-21, 1999. DOI: 10.1109/IWAR.1999.803808

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

  63. T. Biddlecome, S. Fang, K. Dunn and M. 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.

  64. 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,” PRESENCE, Special Issue on Augmented Reality, vol. 6, no. 4, pp. 433-451, August, 1997.

  65. 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), pp. 87-94, Lausanne, Switzerland, September 15-17, 1997. DOI: 10.1145/261135.261152

  66. 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.

  67. 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 CAIP '97, 7th International Conference Computer Analysis of Images and Patterns, pp. 199-206, Kiel, Germany, September 10-12, 1997; 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

  68. 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

  69. 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

  70. 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

  71. 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.

  72. 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

  73. 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.

  74. 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, pp. 357-370, Leeds, UK.

  75. 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, pp. 345-359, Nov. 1994, Boston, MA.

  76. 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.

  77. 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.

  78. 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.

  79. 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.

  80. 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.

  81. 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.

  82. 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.

  83. 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, Computer Architectures for Vision and Pattern Recognition, pp. 601-605, Atlantic City, New Jersey, June 1990. DOI: 10.1109/ICPR.1990.119439.

  84. 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.

  85. 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.

  86. 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.

  87. M. Tuceryan and N. Ahuja, “Perceptual Grouping of Dot Patterns,” in Proceedings of the SPIE Conf. on Optical and Digital Pattern Recognition, vol. 0754, pp. 229-240, January 13-15, 1987, Los Angeles, CA. DOI: 10.1117/12.939989

  88. 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.

  89. 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.

  90. 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 at Conferences

  1. Morusu, S. et al. Mo1564 Automated Method to Detect and Quantify Lobular Inflammation and Portal Inflammation in Human Liver Biopsy Images. Gastroenterology 150, S1146, doi:10.1016/S0016-5085(16)33868-9 (2016).

  2. Morusu, S. et al. Sa1675 Automated Method to Detect and Quantify Macrovesicular Steatosis in Murine Fatty Liver. Gastroenterology 150, S1092, doi:10.1016/S0016-5085(16)33689-7 (2016).

Invited Conference Papers