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Shape Description with a Space-Variant Sensor: Algorithms for Scan-Path, Fusion, and Convergence Over Multiple Scans
November 1989 (vol. 11 no. 11)
pp. 1217-1222

The authors discuss three algorithms related to the blending of a single scene from multiple frames acquired from a space-variant sensor. Given a series of space-variant contour-based scenes with different fixation points, they show how to fuse these into a single multiscan view, which incorporates the information present in the individual scans. They demonstrate an (attentional) algorithm which recursively examines the current knowledge of the scene in order best to choose the next fixation point in terms of focusing attention on regions of maximum boundary curvature. They discuss a simple metric for evaluating convergence over a scan path. This may be used to compare the performance of various attentional algorithms. They discuss their work in light of both machine and biological vision.

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Index Terms:
machine vision; image sensors; space-variant sensor; scan-path; fusion; convergence; fixation points; multiscan view; boundary curvature; computer vision; computerised pattern recognition; image sensors
Citation:
Y. Yeshurun, E.L. Schwartz, "Shape Description with a Space-Variant Sensor: Algorithms for Scan-Path, Fusion, and Convergence Over Multiple Scans," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 11, pp. 1217-1222, Nov. 1989, doi:10.1109/34.42860
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