• D.W. Jacobs is with the Department of Computer Science, University of Maryland, College Park, MD 20742. E-mail: firstname.lastname@example.org.
• M. Lindenbaum is with the Computer Science Department, Technion, Haifa 32000, Israel. E-mail: email@example.com.
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David W. Jacobs received the BA degree from Yale University in 1982. From 1982 to 1985, he worked for Control Data Corporation on the development of database management systems and attended graduate school in computer science at New York University. From 1985 to 1992, he attended the Massachusetts Institute of Technology, where he received the MS and PhD degrees in computer science. From 1992 to 2002, he was at the NEC Research Institute, Princeton, New Jersey, where he was a senior research scientist. In 1998, he spent a sabbatical at the Royal Institute of Technology (KTH) in Stockholm. Since 2002, he has been an associate professor of computer science at the University of Maryland, College Park. His research has focused on human and computer vision, especially in the areas of object recognition and perceptual organization. He has also published papers in the areas of motion understanding, memory and learning, and computational geometry. He is an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence. He and his coauthors received honorable mention for the best paper award at CVPR 2000. He is a member of the IEEE and the IEEE Computer Society.
Michael Lindenbaum received the BSc, MSc, and DSc degrees from the Department of Electrical Engineering at the Technion, Israel, in 1978, 1987, and 1990, respectively. From 1978 to 1985, he served in the Israeli Defense Forces. He did his postdoctoral work at the NTT Basic Research Labs in Tokyo, Japan, and, since 1991, he has been with the Department of Computer Science, Technion. He was also a consultant to Hewlett-Packard Labs, Israel, and recently spent a sabbatical at the NEC Research Institute, Princeton, New Jersey (in 2001). He worked in digital geometry, computational robotics, learning theory, and various aspects of computer vision. Currently, his main research interest is computer vision and, especially, statistical analysis of object recognition and grouping processes. He is a member of the IEEE.