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Feature-utility measures for automatic vision programming

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2 Author(s)
Chien-Huei Chen ; SRI Int., Menlo Park, CA, USA ; Mulgaonkar, P.G.

Three utility measures that can be used to judge the effectiveness of features in a model-based matching strategy are defined: detectability, reliability, and error rate. With the probability framework, it is shown how it is possible to analytically estimate the reliability of a hypothesis using the measures of the individual features. Based on these measures, the authors have formulated and experimentally verified the matching cost (expressed as execution time) of locating an instance of a model in an image. An algorithm is presented for the selection of optimal seed features of the model using the estimated cost of criterion

Published in:

Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on

Date of Conference:

13-18 May 1990