A Two-Dimensional Analog VLSI Circuit for Detecting Discontinuities in Early Vision

A large number of computer vision algorithms for finding intensity edges, computing motion, depth, and color, and recovering the three-dimensional shape of objects have been developed within the framework of minimizing an associated "energy" or "cost" functional. Particularly suc...

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Bibliographic Details
Published inScience (American Association for the Advancement of Science) Vol. 248; no. 4960; pp. 1209 - 1211
Main Authors Harris, John G., Koch, Christof, Luo, Jin
Format Journal Article
LanguageEnglish
Published Washington, DC American Society for the Advancement of Science 08.06.1990
American Association for the Advancement of Science
The American Association for the Advancement of Science
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Summary:A large number of computer vision algorithms for finding intensity edges, computing motion, depth, and color, and recovering the three-dimensional shape of objects have been developed within the framework of minimizing an associated "energy" or "cost" functional. Particularly successful has been the introduction of binary variables coding for discontinuities in intensity, optical flow field, depth, and other variables, allowing image segmentation to occur in these modalities. The associated nonconvex variational functionals can be mapped onto analog, resistive networks, such that the stationary voltage distribution in the network corresponds to a minimum of the functional. The performance of an experimental analog very-large-scale integration (VLSI) circuit implementing the nonlinear resistive network for the problem of two-dimensional surface interpolation in the presence of discontinuities is demonstrated; this circuit is implemented in complementary metal oxide semiconductor technology.
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ISSN:0036-8075
1095-9203
DOI:10.1126/science.2349479