DocumentCode
3148288
Title
Connectionist approach to associative recall of 3D objects
Author
Honda, Hideaki ; Ohnishi, Noboru ; Sugie, N.
Author_Institution
Oki Techno-Syst. Lab., Nagoya, Japan
fYear
1989
fDate
10-12 Apr 1989
Firstpage
229
Lastpage
234
Abstract
A connectionist model that can store a sequence of various views of a three-dimensional object is presented. The model consists of four components, each of which is realized as a network or neuronlike elements. The model can store several 3-D objects in the same network in an overlapped manner. If the model is shown one view of a stored 3-D object, then a sequence of other views is recalled one by one. Since the storage is based on an associative matrix, the recall is possible even from an incomplete view. Instead of raw image data, a set of extracted features is stored for efficient storage
Keywords
computer vision; 3D objects; associative matrix; associative recall; connectionist model; extracted features; network; neuronlike elements; storage; three-dimensional object; Associative memory; Computer vision; Data mining; Detectors; Feature extraction; Image recognition; Image reconstruction; Image storage; Laboratories; Object detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Applications of Machine Intelligence and Vision, 1989., International Workshop on
Conference_Location
Tokyo
Type
conf
DOI
10.1109/MIV.1989.40554
Filename
40554
Link To Document