Optical Linear Feature Detection Based on Model Pose.

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Summary

A top-down approach is taken which searches an optical image for the locally optimal features based on the current hypothesized object pose, and the resulting linear features can then be matched against a CAD model.

Type
report
Published
1995-12-16
Cited by
7
References
16
Access
Open access

Keywords

Feature (linguistics), Artificial intelligence, Pattern recognition (psychology), Computer science, Computer vision

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