Physics-Based Techniques for Computer Vision and Medical Data Analysis Ioannis A. Kakadiaris Visual Computing Lab Department of Computer Science University of Houston The rapid and enormous improvements in sensing, high-performance computing, and communications have led to an explosion of data. The field of Visual Computing is concerned with the analysis, numerical manipulation, querying, display, storage, and transmission of these samples. Our vision is to develop a comprehensive framework for nonstationary processing of multidimensional data using data-adaptive algorithms. In this talk, I will concentrate on novel algorithms for shape and motion analysis and synthesis. Our theoretical developments will be presented using examples from two general areas: human motion analysis and biomedical data analysis. Concerning human motion analysis, I will present our techniques for the identification of body parts from the observed silhouettes of moving humans, for the acquisition of their 3D shape (by integrating the data acquired from three cameras placed orthogonally to each other), for tracking these parts in 3D using multiple cameras, and our latest work on simultaneously estimating anthropometry and pose from a single image. Concerning biomedical data analysis, I will present our research related to computer-aided plastic and reconstructive surgery. Finally, I will present results that demonstrate the accuracy of our techniques on a variety of challenging input data. Ioannis A. Kakadiaris is an Assistant Professor in the Computer Science Department of the University of Houston since August 1997. From November 1996 to July 1997 he was a Post-Doctoral Fellow in the Computer and Information Science Department of the University of Pennsylvania the University of Pennsylvania. Dr. Kakadiaris received the Ptychion (B.S.) (1989) in Physics from the University of Athens, Greece, the M.Sc. (1991) in Computer Science from the Northeastern University, Boston, MA and the PhD (1997) in Computer Science from the University of Pennsylvania, Philadelphia, PA. Dr. Kakadiaris is the Director of the Visual Computing Lab and his research interests include Computer Vision, Medical Imaging, Physically-Based Modeling and Simulation, and Computer Graphics. He received the National Science Foundation Faculty Early Career Award in the Spring of 2000.