DocumentCode :
2594097
Title :
Curved inertia frames and the skeleton sketch: Finding salient frames of reference
Author :
Subirana-Vilanova, J.B.
Author_Institution :
Artificial Intelligence Lab., MIT, Cambridge, MA
fYear :
1990
fDate :
4-7 Dec 1990
Firstpage :
702
Lastpage :
708
Abstract :
The author introduces curved inertia frames (CIFs), a new definition of curved axes of inertia. A scheme is given for finding a frame of reference of a shape in an image based on such a definition and the author discusses how the frame can be used to describe the shape. The scheme assigns a saliency measure to each component of the reference frame that is a measure of its relevance, so that large and central parts play a more central role in the description of the shape. The scheme also computes a major axis that is used to organize the description of the shape, so that a canonical description can be obtained. One of the features of the scheme is its tolerance to noisy and spurious data. Several perceptual phenomena observed in humans such as grouping based on symmetry and environment bias in shape description can be reproduced naturally in this scheme
Keywords :
computational geometry; computer vision; computerised pattern recognition; visual perception; canonical description; computer vision; curved axes of inertia; curved inertia frames; environment bias; grouping based on symmetry; perceptual phenomena; saliency measure; salient frames of reference; shape description; skeleton sketch; Artificial intelligence; Computer vision; Filters; Humans; Image coding; Laboratories; Noise shaping; Shape measurement; Skeleton; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
Type :
conf
DOI :
10.1109/ICCV.1990.139622
Filename :
139622
Link To Document :
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