Recognizing Partially Occluded Parts

Author

Turney, Jerry L. ; Mudge, Trevor N. ; Volz, Richard A.

Author_Institution

Department of Electrical Engineering and Computer Science, Robot Systems Division, Center for Robotics and Integrated Manufacturing, University of Michigan, Ann Arbor, MI 48109.

Issue

4

fYear

1985

fDate

7/1/1985 12:00:00 AM

Firstpage

410

Lastpage

421

Abstract

The problem of recognizing an object from a partially occluded boundary image is considered, and the concept of saliency of a boundary segment is introduced. Saliency measures the extent to which the boundary segment distinguishes the object to which it belongs from other objects which might be present. An algorithm is presented which optimally determines the saliency of boundary segments of one object with respect to those of a set of other objects. An efficient template matching algorithm using templates weighted by boundary segment saliency is then presented and employed to recognize partially occluded parts. The results of these experiments illustrate the effectiveness of the new technique.

Keywords

Belts; Computer aided manufacturing; Design automation; Geometry; Image recognition; Image segmentation; Layout; Least squares methods; Robots; Spatial databases; Hough transform; least squares; occluded parts; saliency; weighted template matching;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.1985.4767680

Filename

4767680