Recognizing Partially Occluded Parts

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 pres...

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Bibliographic Details
Published inIEEE transactions on pattern analysis and machine intelligence Vol. PAMI-7; no. 4; pp. 410 - 421
Main Authors Turney, Jerry L., Mudge, Trevor N., Volz, Richard A.
Format Journal Article
LanguageEnglish
Published Los Alamitos, CA IEEE 01.07.1985
IEEE Computer Society
Subjects
Applied sciences
Artificial intelligence
Belts
Computer aided manufacturing
Computer science; control theory; systems
Design automation
Exact sciences and technology
Geometry
Hough transform
Image recognition
Image segmentation
Layout
least squares
Least squares methods
occluded parts
Pattern recognition. Digital image processing. Computational geometry
Robots
saliency
Spatial databases
weighted template matching
Saliency
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0162-8828
1939-3539
DOI:10.1109/TPAMI.1985.4767680