DocumentCode
3190017
Title
Object recognition based on characteristic view classes
Author
Wang, Ruye ; Freeman, Herbert
Author_Institution
Rutgers Univ., Piscataway, NJ, USA
Volume
i
fYear
1990
fDate
16-21 Jun 1990
Firstpage
8
Abstract
A characteristic view (CV) class of a planar-faced solid (PFS) is a class of representative projection views of the solid such that all members of the class have isomorphic planar graph representation and can be related by a 3D geometric transformation. The viewing space of a PFS can be partitioned into regions called characteristic view domains (CVDs), such that a view of the PFS from any location within a region belongs to the same CV class and is different from all the CVs of the neighboring regions. The authors present a method of partitioning the viewing space into CVDs and finding the set of CV classes for a given PFS. Using the CV classes as the representation of the model object, they also present a method for model-based object recognition. Algorithms for representing, sorting, classifying, and graphically matching the CVs are given. All of these operations are needed in the object recognition method proposed
Keywords
computerised pattern recognition; computerised picture processing; 3D geometric transformation; characteristic view classes; classification; graphic matching; isomorphic planar graph representation; model-based object recognition; object recognition; planar-faced solid; representative projection views; view representation; view sorting; Character recognition; Computer vision; Face detection; Object recognition; Partitioning algorithms; Solids; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.118056
Filename
118056
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