Paper Info
Title
Recognition and positioning of partially occluded 3-D objects
Abstract
Ray, K.S. and D. Dutta Majumder, Recognition and positioning of partially occluded 3-D objects, Pattern Recognition Letters 12 (1991) 93–108. The task of recognizing and positioning 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 are the local invariant features of the surfaces. A computer vision scheme, based upon the matching between the local features of the 3-D objects in a scene and those of the models which are considered as knowledge data base, is described. Finally, the hypothesis generation and verification scheme is considered for best possible recognition.
Year
DOI
Venue
1991
10.1016/0167-8655(91)90055-Q
Pattern Recognition Letters
Keywords
Field
DocType
hypothesis generation and verification,occlusion,computer vision,3-d object,minimal spanning tree,depth map,3-d object recognition,differential geometry,compatible structure
Computer vision,Three-dimensional space,Pattern recognition,Mean curvature,Principal curvature,Planar,Artificial intelligence,Invariant (mathematics),Differential geometry,Depth map,Mathematics,Gaussian curvature
Journal
Volume
Issue
ISSN
12
2
Pattern Recognition Letters
Citations 
PageRank 
References 
4
0.72
23
Authors
2
Name
Order
Citations
PageRank
Kumar S. Ray134949.30
D. Dutta Majumder236368.55