Paper Info
Title
Application of Hopfield neural networks and canonical perspectives to recognize and locate partially occluded 3-D objects
Abstract
The task of recognizing and locating the partially occluded three-dimensional (3-D) rigid objects of a given scene is considered. The surfaces of 3-D objects may be planar or curved. The 3-D surface informations are captured through range data (depth) map. For recognition we use the principal curvatures, mean curvature and Gaussian curvature as the local descriptions of the surfaces. These curvatures do not change significantly under rotation and translation. Hence they are used as local invariant (within certain threshold) features of the surfaces. A neuro-vision scheme, based upon the matching between the local features of the 3-D objects in a scence and those of the object models is proposed. Object models are generated using canonical perspectives. The feature matching scheme is realized, at two stages, through Hopfield neural networks. At the first stage edge-points of the scene are matched with those of the object models using a Hopfield net. At the second stage non-edge-points of the scene are matched with those of the object models using another Hopfield net. Compared with conventional object matching schemes, the proposed technique provides a more general and compact formulation of the problem and a solution more suitable for parallel implementation. Finally, the hypothesis generation and verification scheme is proposed for best possible recognition.
Year
DOI
Venue
1994
10.1016/0167-8655(94)90010-8
Pattern Recognition Letters
Keywords
Field
DocType
hopfield neural network,canonical perspective,3-d object,hypothesis generation and verification,neural network,canonical perspectives,feature matching,object recognition
Computer vision,Pattern recognition,Edge detection,Mean curvature,Principal curvature,Artificial intelligence,Invariant (mathematics),Artificial neural network,Hopfield network,Mathematics,Cognitive neuroscience of visual object recognition,Gaussian curvature
Journal
Volume
Issue
ISSN
15
8
Pattern Recognition Letters
Citations 
PageRank 
References 
2
0.39
4
Authors
2
Name
Order
Citations
PageRank
Kumar S. Ray134949.30
D. Dutta Majumder236368.55