BONSAI: 3D object recognition using constrained search
Flynn, P.J.
Jain, A.K.
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 1991
Volume: 13,
Issue: 10
On page(s): 1066-1075
ISSN: 0162-8828
References Cited: 36
CODEN: ITPIDJ
INSPEC Accession Number: 4084155
Digital Object Identifier: 10.1109/34.99239
Current Version Published: 2002-08-06
Abstract
BONSAI, a model-based 3D object recognition system, is described.
It identifies and localizes 3D objects in range images of one or more
parts that have been designed on a computer-aided-design (CAD) system.
Recognition is performed via constrained search of the interpretation
tree, using unary and binary constraints (derived automatically from the
CAD models) to prune the search space. Attention is focused on the
recognition procedure, but the model-building, image acquisition, and
segmentation procedures are also outlined. Experiments with over 200
images demonstrate that the constrained search approach to 3D object
recognition has an accuracy comparable to that of previous systems
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