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A robust method for detecting image features with application to face recognition and motion correspondence

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4 Author(s)
Manjunath, B.S. ; California Univ., Santa Barbara, CA, USA ; Shekhar, C. ; Chellappa, R. ; von der Malsburg, C.

The authors present an approach to feature detection, which is a fundamental issue in many intermediate-level vision problems such as stereo, motion correspondence, image registration, etc. The approach is based on a scale-interaction model of the end-inhibition property exhibited by certain cells in the visual- cortex of mammals. These feature detector cells are responsive to short lines, line endings, corners and other such sharp changes in curvature. In addition, this method also provides a compact representation of feature information which is useful in shape recognition problems. Application to face recognition and motion correspondence are illustrated

Published in:

Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992