Publication in 2010
  • Eric R. Smith, Richard J. Radke, Charles V. Stewart, "Physical Scale Intensity-Based Range Keypoints",3D Data Processing, Visualization, and Transmission (3DPVT) 2010. [ pdf ]
Publication in 2008
  • Michal Sofka and Charles V. Stewart, "Location Registration and Recognition (LRR) for Longitudinal Evaluation of Corresponding Regions in CT Volumes", In Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), New York, NY, 2008. [ website ]
Publication in 2007
  • Chia-Ling Tsai, Benjamin Madore, Matthew Leotta, Michal Sofka, Gehua Yang, Anna Majerovics, Howard L. Tanenbaum, Charles V. Stewart, and Badrinath Roysam, "Automated Retinal Image Analysis over the Internet", IEEE Transactions on Information Technology in Biomedicine, Accepted for publication. [ pdf ] [ bib ] [ website ]
  • Eric R. Smith, Bradford J. King, Charles V. Stewart, Richard J. Radke, "Registration of Combined Range-Intensity Scans: Initialization Through Verification", Computer Vision and Image Understanding (CVIU),110(2):226244, 2007. [ pdf ]
  • Gehua Yang, Jacob Becker, Charles V. Stewart, "Estimating the Location of a Camera with Respect to a 3D Model", Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling (3DIM), 2007. [ pdf ]
  • Avi Kelman, Michal Sofka, and Charles V. Stewart, "Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations"
    Proceedings of the IEEE Computer Society Workshop on Image Registration and Fusion (in conjunction with IEEE CVPR 2007), 2007. [ pdf ] [ bib ] [ website ]
  • Michal Sofka, Gehua Yang, and Charles V. Stewart, "Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. [ pdf ] [ bib ] [ website ]
  • Gehua Yang, Charles V. Stewart, Michal Sofka, and Chia-Ling Tsai, "Registration of Challenging Image Pairs: Initialization, Estimation, and Decision"
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 1973-1989, Nov. 2007. [ pdf ] [ bib ] [ publisher ] [ website ]
Publication in 2006
  • Michal Sofka and Charles V. Stewart, "Retinal Vessel Extraction Using Multiscale Matched Filters, Confidence and Edge Measures",
    IEEE Transactions on Medical Imaging, vol. 25, no. 12, pp. 1531-1546, Dec. 2006. [ pdf ] [ bib ] [ publisher and erratum ] [ website ]
  • Chia-Ling Tsai, Charles V. Stewart, Amitha Perera, Ying-Lin Lee, Gehua Yang, and Michal Sofka, A Correspondence-Based Software Toolkit for Image Registration, IEEE Conference on Systems, Man and Cybernetics, 2006. [ pdf ] [ bib ]
  • D. Freedman, An incremental algorithm for reconstruction of surfaces of arbitrary codimension, Computational Geometry: Theory and Applications
  • Gehua Yang, Charles V. Stewart, Michal Sofka, Chia-Ling Tsai: Automatic robust image registration system: Initialization, estimation, and decision. Proceedings of the IEEE International conference on Computer Vision Systems (ICVS), pp. 23-31, 2006. [ pdf ] [ bib ] [ website ]
  • Charles V. Stewart: Uncertainty-Driven, Point-Based Image Registration. In Nikos Paragios, Yunmei Chen, and Olivier Faugeras Handbook of Mathematical Models in Computer Vision, pp. 221-235. Springer, 2006. [ pdf ] [ bib ]
Publication in 2005
  • B.J. King, T. Malisiewicz, C.V. Stewart, R.J. Radke, "Registration of Multiple Range Scans as a Location Recognition Problem: Hypothesis Generation, Refinement and Verification", Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling, pp.180-187, Ottawa, Ontario, Canada, June 13-16, 2005. [ pdf ] [ bib ]
  • Charles V. Stewart: Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions. Proceedings of the Workshop on Biomedical Image Analysis (CVBIA), pp. 31-50, 2005. [ bib ]
  • D. Freedman and P. Drineas. Energy minimization via graph cuts: settling what is possible. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , volume 2, pages 939-946, 2005. [ pdf ] [ bib ]
  • D. Freedman and M. Turek. Illumination-invariant tracking via graph cuts. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , volume 2, pages 10-17, 2005. [ pdf ] [ bib ]
  • D. Freedman and T. Zhang. Interactive graph cut based segmentation with shape priors. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) , volume 1, pages 755-762, 2005. [ pdf ] [ bib ]
  • D. Freedman , R. J. Radke, T. Zhang, Y. Jeong, D. M. Lovelock, and G. T. Y. Chen. Model-based segmentation of medical imagery by matching distributions. IEEE Transactions on Medical Imaging , 24(3):281-292, 2005. [ pdf ] [ bib ]
  • T. Zhang and D. Freedman . Improving performance of distribution tracking through background mismatch. IEEE Transactions on Pattern Analysis and Machine Intelligence , 27(2):282-287, 2005. [ pdf ] [ bib ]
Publication in 2004
  • Charles V. Stewart, Ying-Lin Lee, Chia-Ling Tsai: An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images. Proceedings of the 7th International Conference of Medical Image Computing and Computer-Assisted Intervention (MICCAI), vol. 1, pp. 870-877, 2004. [ pdf ] [ bib ]
  • Chia-Ling Tsai, Charles V. Stewart, Howard L. Tanenbaum, Badrinath Roysam: Model-Based Method for Improving the Accuracy and Repeatability of Estimating Vascular Bifurcations and Crossovers From Retinal Fundus Images. IEEE Transactions on Information Technology in Biomedicine 8(2): 122-130 (2004). [ pdf ] [ bib ]
  • D. Freedman . Surface reconstruction, one triangle at a time. Proceedings of the Sixteenth Canadian Conference of Computational Geometry (CCCG) , pages 15-19, 2004.
    [ pdf ] [ bib ]
  • D. Freedman , R.J. Radke, T. Zhang, Y. Jeong, and G.T.Y Chen. Model-based multi-object segmentation via distribution matching. Proceeding of the Third IEEE Workshop on Articulated and Nonrigid Motion (in conjunction with IEEE CVPR 2004) , June 27, 2004, Baltimore, MD. [ pdf ] [ bib ]
  • D. Freedman and T. Zhang. Active contours for tracking distributions. IEEE Transactions on Image Processing , 13(4):518-526, 2004. [ pdf ] [ bib ]
  • Gehua Yang, Charles V. Stewart: Covariance-Driven Mosaic Formation from Sparsely-Overlapping Image Sets with Application to Retinal Image Mosaicing. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 804-810, 2004. [ pdf ] [ bib ]
  • Gregory D. Hager, Maneesh Dewan, Charles V. Stewart: Multiple Kernel Tracking with SSD. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 790-797, 2004. [ pdf ] [ bib ]
  • J. A. Tyrrell, J. M. LaPre, Christopher D. Carothers, Badrinath Roysam, Charles V. Stewart: Efficient Migration of Complex Off-Line Computer Vision Software to Real-Time System Implementation on Generic Computer Hardware. IEEE Transactions on Information Technology in Biomedicine 8(2): 142-153 (2004). [ pdf ] [ bib ]
Publication in 2003
  • C.V. Stewart, C.-L. Tsai and Amitha Perera, A View-Based Approach to Registration: Theory and Application to Vascular Image Registratio, Department of Computer Science Technical Report RPI-CS-TR 03-1, Rensselaer Polytechnic Institute, May 2003.
    [ pdf ] [ bib ]
  • C.-L. Tsai, A. Majerovics, C.V. Stewart and B. Roysam, Disease-Oriented Evaluation of Dual-Bootstrap Retinal Image Registration. November 2003. [ pdf ] [ bib ]
  • C.V. Stewart, C.-L. Tsai and B. Roysam, The Dual-Bootstrap Iterative Closest Point algorithm with application to retinal image registration, IEEE Trans. on Medical Imaging , October 2003. [ pdf ] [ bib ]
  • D. Freedman, Effective tracking through tree-search. IEEE Transactions on Pattern Analysis and Machine Intelligence , 25(5):604-615, 2003. [ pdf ] [ bib ]
  • H. Shen, C.V. Stewart, B. Roysam, G. Lin and H.L. Tanenbaum, Frame-rate spatial referencing based on invariant indexing and alignment with application to on-line retinal image registration, IEEE Trans. on Pattern Analysis and Machine Intelligence 25:3, March 2003. [ pdf ] [ ps.gz ] [ bib ]
  • K. Fritzsche, A. Can, H. Shen, C. Tsai, J. Turner, H. Tanenbuam, C. Stewart, and B. Roysam. Automated model based segmentation, tracing and analysis of retinal vasculature from digital fundus images. In J. S. Suri and S. Laxminarayan, editors, State-of-The-Art Angiography, Applications and Plaque Imaging Using MR, CT, Ultrasound and X-rays, pages 225–298. Academic Press, 2003. [ bib ]
  • T. Zhang and D. Freedman . Tracking objects using density matching and shape priors. Proceedings of the Ninth IEEE International Conference on Computer Vision (ICCV), pp. 1056-1062, 2003. [ pdf ] [ bib ]
Publication in 2002
  • C.V. Stewart, Covariance-Based Registration, Department of Computer Science Technical Report RPI-CS-TR 02-8, Rensselaer Polytechnic Institute, June 2002. [ pdf ] [ ps ]
  • C.-L. Tsai, C.V. Stewart, B. Roysam and H.L. Tanenbaum, Covariance-driven retinal image registration initialized from small sets of landmark correspondences, IEEE International Symposium on Biomedical Imaging, Washington DC, July 2002. [ pdf ] [ bib ]
  • A. Can, C.V. Stewart, B. Roysam, and H.L. Tanenbaum, A feature-based, robust, hierarchical technique for registering pairs of images of the curved human retina, IEEE Transactions on Pattern Analysis and Machine Intelligence, 347-364, March 2002.
    [ pdf ] [ ps.gz ] [ bib ]
  • A. Can, C.V. Stewart, B. Roysam, and H.L. Tanenbaum, A feature-based algorithm for joint, linear estimation of high-order image-to-mosaic transformations: mosaicing the curved human retina,IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 412-419, March 2002. [ pdf ] [ ps.gz ] [ bib ]
  • K. Fritzsche, A. Can, H. Shen, C. Tsai, J. Turner, H.L. Tanenbuam, C.V. Stewart and B. Roysam, Automated model based segmentation, tracing and analysis of retinal vasculature from digital fundus images, CRC Press, 2002. [ bib ]
  • G. Lin, C.V. Stewart, B. Roysam, K. Fritzsche and H.L. Tanenbaum, Predictive scheduling algorithms for real-time feature extraction and spatial referencing: application to retinal image sequences, IEEE Trans. on Biomedical Engineering, October 2002. [ pdf ] [ ps.gz ] [ bib ]
  • D. Freedman, Combinatorial curve reconstruction in Hilbert Spaces, Computational Geometry: Theory and Applications , 23(2):227-241, 2002. [ pdf ] [ bib ]
  • Y. Shao, M. Magdon-Ismail, D. Freedman , S. Akella, M. Zaki, and C. Bystroff, Compression of protein conformational space, 6th Annual International Conference on Research in Computational Molecular Biology (RECOMB02) , Washington, DC, April 2002 (poster). [ pdf ] [ bib ]
  • D. Freedman, Efficient simplicial reconstructions of manifolds from their samples, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(10):1349 -1357, 2002.
    [ pdf ] [ bib ]
Publication in 2001
  • H. Shen, B. Roysam, C.V. Stewart, J.N. Turner, and H.L. Tanenbaum, Optimal scheduling of tracing computations for real-time vascular landmark extraction from retinal fundus images, IEEE Transactions on Information Technology for Biomedicine 5:1 , pp 77-91, 2001. [ pdf ] [ bib ]
Publication in 2000
  • P. Meer, C.V. Stewart and D. Tyler, Robust computer vision: an interdisciplinary challenge, Computer Vision and Image Understanding 78 , pp. 1-7, April 2000.
  • K. Martin and C.V. Stewart, Real time tracking of borescope tip pose,Image and Vision Computing 18 , pp. 795-804, July 2000. [ pdf ] [ bib ]
  • A. Perera, C-L. Tsai, R.Y. Flatland and C.V. Stewart, Maintaining Valid Topology with Active Contours: Theory and Application, Proc. IEEE Conference on Computer Vision and Pattern Recognition , Vol. 1, 496-502, June 2000. [ pdf ] [ ps.gz ] [ bib ]
  • D. Freedman. Manifold reconstruction from unorganized points. Proceedings of the Thirty Fourth Annual Asilomar Conference on Signals, Systems, and Computers , 2000. [ pdf ] [ bib ]
  • D. Freedman and M. Brandstein. Contour tracking in clutter: a subset approach. International Journal of Computer Vision , 38(2):173-186, 2000. [ pdf ] [ bib ]
  • D. Freedman and M. Brandstein. Provably fast algorithms for contour tracking. In Proceedings of the 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition , volume 1, pages 139-144, 2000. [ pdf ] [ bib ]
  • R.Y. Flatland and C.V. Stewart, Extending range queries and nearest neighbors, Computational Geometry 17 , pp 3-24, October 2000. [ ps ] [ bib ]
Publication in 1999
  • A. Can, C.V. Stewart and B. Roysam, Robust hierarchical algorithm for constructing a mosaic from images of the curved human retina, Proc. IEEE Conf. on Computer Vision and Pattern Recognition , pp. 286-292, June, 1999. [ pdf ] [ ps.gz ] [ bib ]
  • A. Can, H. Shen, J.N. Turner, H.L. Tanenbaum, and B. Roysam, Rapid automated tracing and feature extraction from live high-resolution retinal fundus images using direct exploratory algorithms, IEEE Trans. on Information Technology for Biomedicine 3:2 , pp 125-138, 1999. [ pdf ] [ bib ]
  • C.V. Stewart, K. Bubna and A. Perera, Estimating model parameters and boundaries by minimizing a joint, robust objective function,Proc. IEEE Conf. on Computer Vision and Pattern Recognition , pp. 387-393, June, 1999. [ pdf ] [ ps.gz ] [ bib ]
  • C.V. Stewart, Robust parameter estimation in computer vision,SIAM Reviews 41:3 , pp 513-537, September, 1999. Electronic version from SIAM. [ pdf ] [ ps.gz ] [ bib ]
  • V-D. Nguyen, V. Nzomigni and C.V. Stewart, Fast and Robust Registration of 3D Surfaces using Low Curvature Patches, Proc. 2nd International Conference on 3D Digital Imaging and Modeling , 201-208, Ottawa, October 1999. [ pdf ] [ bib ]
  • D. Freedman and M. Brandstein. Methods of global optimization in contour tracking. Proceedings of the Thirty Third Annual Asilomar Conference on Signals, Systems, and Computers , volume 1, pages 725-729,1999. [ pdf ] [ bib ]
  • D. Freedman and M. Brandstein. A subset approach to contour tracking in clutter. Proceedings of the Seventh IEEE International Conference on Computer Vision , volume 1, pages 242-247, 1999. [ pdf ] [ bib ]
Publication in 1998
  • K. Bubna and C.V. Stewart, Model selection techniques and merging rules for range data segmentation algorithms,Computer Vision and Image Understanding 80 pp. 215-245, December 2000. [ pdf ] [ ps.gz ] [ bib ]
  • R. Curwen, J.L. Mundy and C.V. Stewart, Recognition of plane projective symmetry, Proc. IEEE Int. Conf. on Computer Vision , pp. 1115-1122, 1998. [ pdf ] [ bib ]
Publication in 1997
  • C.V. Stewart, Bias in robust estimation caused by discontinuities and multiple structures,IEEE Trans. on Pattern Analysis and Machine Intelligence 19:8, pp.818-833, 1997. [ ps.gz ] [ bib ]
  • J.V. Miller and C.V. Stewart, Prediction intervals for surface growing range segmentation,Proc. IEEE Conf. Computer Vision and Pattern Recognition , pp. 1027-1033, 1997. [ ps.gz ] [ pdf ] [ bib ]
Publication in 1996
  • C.V. Stewart, R.Y. Flatland, and K. Bubna, Geometric constraints and stereo disparity computation, Int. J. of Computer Vision 20:3, pp. 143-168, December 1996. [ bib ]
  • Robin Y. Flatland, Charles V. Stewart: Extending Rectangular Range Reporting with Query Sensitive Analysis. Proceedings of the 8th Canadian Conference on Computational Geometry (CCCG), pp. 319-324, 1996. [ bib ]
  • J.V. Miller and C.V. Stewart, MUSE: Robust surface fitting using unbiased scale estimates, Proc. IEEE Conf. Computer Vision and Pattern Recognition , pp.300-306, 1996.
    [ ps.gz ] [ pdf ] [ bib ]
Publication in 1995
  • C.V. Stewart, MINPRAN: A new robust estimator for computer vision,IEEE Trans. on Pattern Analysis and Machine Intelligence 17:10, pp 925-938, October, 1995. [ pdf ] [ bib ]
  • C. V. Stewart: Expected Performance of Robust Estimators Near Discontinuities. Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 969-974, 1995. [ pdf ] [ bib ]

 

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