Professor, Department of Computer Science
Rensselaer Polytechnic Institute

Education:
Ph.D., Computer Science, University of Wisconsin, 1988
M.S., Computer Science, University of Wisconsin, 1985
B.A., Mathematical Sciences, Williams College, 1982

Career Highlights:
Stewart began his professional career as a programmer for IBM Corporation in Gaithersburg, Md. He then completed two graduate degrees and joined Rensselaer in 1988. During the 1996-97 academic year, Stewart spent a sabbatical at the General Electric Global Research Center in Niskayuna, N.Y. He was promoted to full professor in 2000.

Among the honors Stewart has received include the Best Paper Award at the Institute of Electrical and Electronics Engineers (IEEE) Conference on Computer Vision and Pattern Recognition; he co-authored the paper with two Rensselaer colleagues. His professional memberships include Sigma Xi, the Association for Computing Machinery (ACM), the IEEE, and several National Science Foundation (NSF) panels. He also served four times on the program committee for the IEEE Conference on Computer Vision and Pattern Recognition, has been an invited speaker and program committee member of the International Conference on Robust Statistics (ICORS) in 2001, and was local arrangements chair for the IEEE Conference on Computer Vision and Pattern Recognition (ICORS) in 2003.

Research Areas:
Medical image analysis, computer vision, robust statistics, and computational geometry are among Stewart’s research interests; however, his main activity is the "Retina Project." He jointly leads this project with Badri Roysam, professor of electrical, computer, and systems engineering and Chris Carothers, associate professor of computer science. The researchers are investigating the use of computer vision techniques to aid in the diagnosis and treatment of diseases of the retina. They have focused primarily on core segmentation and registration algorithms and have had encouraging results. Currently, the team is exploring a variety of topics, especially real-time registration and the underlying operating system support, as well as registration-based vascular and non-vascular change detection. The NSF and the National Institutes of Health have supported their work.

Selected Publications:
C. V. Stewart, Y.-L. Lee, and C.-L. Tsai, “An Uncertainty-Driven Hybrid of Intensity-Based and Feature-Based Registration with Application to Retinal and Lung CT Images,” Proceedings of the. Conference on Medical Image Computing and Computer Assisted Intervention (MICCIA), to appear, September 2004.

G. Yang and C.V. Stewart, “Covariance-Driven Mosaic Formation from Sparsely-Overlapping Image Sets with Application to Retinal Image Mosaicing,” in the IEEE Conference on Computer Vision and Pattern Recognition, (June 2004).

C.-L. Tsai, C.V. Stewart, B. Roysam, and H.L. Tanenbaum, “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).

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 Transactions on Biomedical Engineering, 51, (1), 115-125, (2004).

C.-L. Tsai, A. Majerovics, C.V Stewart, and B. Roysam, “Disease-Oriented Evaluation of Dual-Bootstrap Retinal Image Registration,” in Proceedings of the Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2, 754-761, (2003).

C.V. Stewart, C.-L. Tsai, and B. Roysam, “The Dual Bootstrap Iterative Closest Point Algorithm with Application to Retinal Image Registration,” IEEE Transactions on Medical Imaging, 22, (11), 1379-1394, (2003).

C.V. Stewart, A. Perera, and C.-L. Tsai, “A View-Based Approach to Registration: Theory and Application to Vascular Image Registration,” International Conference on Information Processing in Medical Imaging, Ambleside, UK, (2003).

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 Transactions on Pattern Analysis and Machine Intelligence, 25, (3), 379-384, (2003).

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, (3), 412-419, (2002).

A. Can, C.V. Stewart, B. Roysam, and H.L. Tanenbaum, “A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, (3), 347-364, (2002).

Contact Information:
Charles Stewart
(518) 276-6731
stewart@cs.rpi.edu
http://www.cs.rpi.edu/~stewart