Using perceptual organization to extract 3-D structures

The authors describe an approach to perceptual grouping for detecting and describing 3-D objects in complex images and illustrate it by applying it to the task of detecting and describing complex buildings in aerial images. They argue that representations of structural relationships in the arrangeme...

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Bibliographic Details
Published inIEEE transactions on pattern analysis and machine intelligence Vol. 11; no. 11; pp. 1121 - 1139
Main Authors Mohan, R, Nevatia, R
Format Journal Article
LanguageEnglish
Published Los Alamitos, CA IEEE Computer Society 01.11.1989
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Pattern recognition. Digital image processing. Computational geometry
Computer vision
Three dimensional representation
Scene analysis
Pattern recognition
Detection
Stereopsis
Object location
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Summary:The authors describe an approach to perceptual grouping for detecting and describing 3-D objects in complex images and illustrate it by applying it to the task of detecting and describing complex buildings in aerial images. They argue that representations of structural relationships in the arrangements of primitive image features, as detected by the perceptual organization process, are essential for analyzing complex imagery. They term these representations collated features. The choice of collated features is determined by the generic shape of the desired objects in the scene.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0162-8828
1939-3539
DOI:10.1109/34.42852