Title :
Pairwise representations of shape
Author :
Evans, Alun C. ; Thacker, Neil A. ; Mayhew, John E W
Author_Institution :
Artificial Intelligence Vision Res. Unit, Sheffield Univ., UK
fDate :
30 Aug-3 Sep 1992
Abstract :
Representation of arbitrary shape for the purposes of visual object recognition is an unsolved problem. This paper outlines some theoretical properties of shape representations based on stored geometric constraints that make them suitable for input to a 3D object recognition system. The construction of such representations is detailed together with an evaluation of their efficacy based on experimental findings
Keywords :
noise; pattern recognition; picture processing; 3D object recognition system; arbitrary shape; shape representations; stored geometric constraints; visual object recognition; Artificial intelligence; Image edge detection; Interpolation; Large-scale systems; Noise robustness; Noise shaping; Object recognition; Shape; Solid modeling; Working environment noise;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201525
