On the recognition of curved objects

The problem of determining the identity and pose of occluded objects from noisy data is examined. Previous work has shown that local measurements of the position and surface orientation of small patches of an object's surface may be used in a constrained search process to solve this problem, fo...

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Bibliographic Details
Published inIEEE transactions on pattern analysis and machine intelligence Vol. 11; no. 6; pp. 632 - 643
Main Author Grimson, W.E.L.
Format Journal Article
LanguageEnglish
Published Los Alamitos, CA IEEE 01.06.1989
IEEE Computer Society
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Contracts
Exact sciences and technology
Face recognition
Image recognition
Image segmentation
Laser modes
Pattern recognition. Digital image processing. Computational geometry
Position measurement
Research initiatives
Sonar
System testing
Two dimensional displays
Occlusion
Computer vision
Visualization
Image analysis
Noise
Treeing
Information retrieval
Depth first search
Pattern recognition
Localization
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Summary:The problem of determining the identity and pose of occluded objects from noisy data is examined. Previous work has shown that local measurements of the position and surface orientation of small patches of an object's surface may be used in a constrained search process to solve this problem, for the case of rigid polygonal objects using 2-D sensory data, or rigid polyhedral objects using 3-D data. The recognition system is extended to recognize and locate curved objects. The extension is done in two dimensions, and applies to the recognition of 2-D objects from 2-D data, or to the recognition of the 3-D objects in stable positions from 2-D data.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0162-8828
1939-3539
DOI:10.1109/34.24797