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Gang Li, Ph.D.
Research Scientist Siemens Corporate Research 755 College Road East Princeton, NJ 08540 Tel: (609)734-4470, Fax: (609)734-6565
curriculum vitae: (pdf) |
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I have graduated from the Department of Computer Science at Yale University. Since October 2006, I have been with Siemens Corporate Research in Princeton, NJ. At Yale University, I studied computational vision with Prof. Steven W. Zucker. Our group has been developing an abstract theory of early vision based on differential geometry while respecting insights from neurophysiology. This has led to a unified theory for curve detection, shading and texture analysis, stereo, and color. In my Ph.D. thesis, a differential geometric analysis for the stereo reconstruction of curves and surfaces is developed via moving frames, which results in a set of differential geometric constraints for both curve matching and surface dense stereo in the same geometric framework. These in effect exploit contextual information geometrically and much improved feature-based and surface dense stereo algorithms are demonstrated in examples with complex natural scenes. At Siemens Corporate Research, I am fascinated by computer vision and medical image analysis problems that involve 3D inference and the geometric analysis of multiple images. My approach is mainly based on geometry and optimization. My research centers around 3D model reconstruction, representation, exploitation, classification, and visualization. My current focuses in 3D computer vision and medical image analysis are for reconstruction, tracking, recognition, and statistical shape analysis. My additional focuses are in computer graphics for geometry processing and in human-computer interaction for augmented reality. I also have genuine interests in machine learning. |