CALL FOR PAPERS IEEE Transactions on Pattern Analysis and Machine Intelligence SPECIAL ISSUE on Perceptual Organization in Computer Vision (Submission Deadline: December 15, 2001) Guest Editors: David Jacobs, NEC Research Institute, dwj@research.nj.nec.com Michael Lindenbaum, Technion, mic@cs.technion.ac.il As recognized by the Gestalt school, the importance of perceptual organization (PO) in human vision cannot be overestimated; it imparts both efficiency and robustness to the visual process. Since early demonstrations in the 1980s underscored its usefulness in object recognition, the computer vision community has seen various applications of PO in artificial vision systems such as in stereo matching, model indexing, contour completion, figure-ground segmentation, change detection, and more. Indeed, it can be argued that a reasonable computational model of perception can be built around the notion of repeated detection and classification of organized structure. Papers are solicited that address a wide range of issues in the computational understanding of perceptual organization. Appropriate domains include, but are not limited to: Computational modeling of human performance on psychophysical stimuli (eg., illusory contours); Segmentation or grouping in single natural images; Building intermediate image descriptions such as skeletons; Segmentation of medical or other non-visual imagery; Segmentation in video of independently moving objects; Performance assessment and prediction of grouping perceptual organization algorithms. Relevant techniques for perceptual organization include, but are not limited to: Graph-based algorithms including spectral methods; Search algorithms; Techniques from learning including E-M, belief propagation, and Markov Chain Monte Carlo methods; Level set methods. Our focus will be on computational methods of perceptual organization. Therefore, the focus of each paper should be on these issues. For example, papers should not primarily focus on presenting psychological data or generic optimization techniques. However, we will also welcome tutorial or review papers designed to bring to attention relevant work from related communities, such as visual psychology, graph theory, optimization, and learning. If authors are concerned whether their paper would fall within the scope of this special issue, please send an abstract/proposal to the editors for a preliminary evaluation prior to the due date. All submitted papers will be reviewed according to the guidelines and standards of PAMI. We prefer that authors submit electronic versions of their papers in postscript or pdf. Alternately, authors may submit=20 four hardcopies of their papers. Submissions should be sent to: Prof. Michael Lindenbaum, Computer Science Dept. Technion, Haifa 32000, Israel mailto:mic@cs.technion.ac.il Manuscripts are to be submitted by 15 December 2001. First reviews should be returned to authors around the middle of March, 2002. Revised Manuscripts will be due by the end of June. The special issue should appear in an issue of PAMI near the end of 2002.