Computational Techniques in Visual Systems. Part II. Segmenting Static Scenes.
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER AND INFORMATION SCIENCE
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In the first part of this paper, The Overall Design, the authors looked at their evolving understanding of computational techniques--both in analyzing the visual system of animals, and in building computer vision systems. The authors divided the computations between low-level systems and high-level systems, and sketched the interaction between the two types of system. Here, in part 2, the authors focus upon specific tasks of the low-level systems--feature extraction and segmentation, as well as their competition and cooperation. The authors continue to emphasize an integrated system design, with interaction of multiple processes resolving ambiguous and noisy data. A survey of processes which operate on a single static, but colored, image show how segmentation can proceed via boundary formation, and by formation of regions on the basis of color and texture cues. Extensive experimental data are given on the results of applying segmentation techniques.
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