27 March 1989 Perceptual Grouping Of Curved Lines
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Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960295
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
Abstract
Image curves often correspond to the bounding contours of objects as they appear in the image. As such, they provide important structural information which may be exploited in matching and recognition tasks. However, these curves often do not appear as coherent events in the image; they must, therefore, be (re)constructed prior to their effective use by higher-level processes. A system (currently being built) to accomplish such reconstruction of image curves is described herein. It exploits principles of perceptual organization such as proximity and good continuation to identify co-curving or curvilinear structure. Components of each such structure are replaced by a single curve, thus making their coherence explicit. The system is iterative, operating over a range of perceptual scales--fine to coarse--and yielding a hierarchy of alternative descriptions. Results are presented for the first iteration, showing the performance of the system at the finest perceptual scale and indicating the reasonableness of the paradigm for subsequent iterations.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Dolan, John Dolan, Richard Weiss, Richard Weiss, } "Perceptual Grouping Of Curved Lines", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960295; https://doi.org/10.1117/12.960295
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