3D Object Recognition Using Distributed Associative Memory (DAM)

Harry Wechsler; Lee Zimmerman

doi:10.1117/12.969759

1 March 1990 3D Object Recognition Using Distributed Associative Memory (DAM)

Harry Wechsler, Lee Zimmerman

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969759
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

The fundamental problem faced by all vision systems is the ambiguity created by the projection process. An object's projected shape in an image changes dramatically for small changes in the observer's viewpoint. This is the basic difficulty in creating a machine vision system that can respond robustly in an unconstrained 3D environment. Our approach to this problem enables the vision system to actively engage its interpretation of the surroundings using a distributed memory system modeled as visual potentials and made up of characteristic view(point)s (Koenderink and van Doorn, 1979).

Citation Download Citation

Harry Wechsler and Lee Zimmerman "3D Object Recognition Using Distributed Associative Memory (DAM)", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); https://doi.org/10.1117/12.969759

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