Paper Info
Title
Two-dimensional object recognition using partial contours
Abstract
Most simple algorithms for generating 2D shape descriptors, whether they are based on boundary features or regional features, require that the complete object is visible. This paper introduces a simple boundary-based shape descriptor, the normal contour distance (NCD) signature, which does not require knowledge of the complete boundary and is suitable for recognition of partially occluded objects. The ability of the NCD descriptor to discriminate between standard 2D shapes has been tested and details are provided of the results obtained using 50%, 50%, 70%, 80%, 90% and 100% of the complete object boundary.
Year
DOI
Venue
1987
10.1016/0262-8856(87)90073-4
Image Vision Comput.
Keywords
Field
DocType
partial contour,two-dimensional object recognition,shape descriptors,occluded objects,shape recognition,object recognition
Computer vision,3D single-object recognition,Pattern recognition,Artificial intelligence,SIMPLE algorithm,Mathematics,Cognitive neuroscience of visual object recognition
Journal
Volume
Issue
ISSN
5
1
Image and Vision Computing
Citations 
PageRank 
References 
5
1.39
14
Authors
1
Name
Order
Citations
PageRank
David Vernon135226.17