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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Published in | Science (American Association for the Advancement of Science) Vol. 248; no. 4960; pp. 1209 - 1211 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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 |
Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0036-8075 1095-9203 |
DOI: | 10.1126/science.2349479 |