DocumentCode :
2985870
Title :
Tracing and representation of human line drawings
Author :
Lee, Sukhan ; Pan, Jack C.
Author_Institution :
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear :
1989
fDate :
14-17 Nov 1989
Firstpage :
1055
Abstract :
An approach to the representation of arbitrary line drawings is presented. With this approach the system makes a tracing of line drawings similar to the way a human normally does, and incorporates the result of the tracing sequence into the structural representation of the line drawing. Following the sequence of line drawings identified by the tracing, the critical point segmentation method is proposed to extract all the local feature points for representation. To make the representation size and rotation invariant, the authors introduce the critical point normalization method based on orthonormal transformation. Experimental results are shown
Keywords :
pattern recognition; picture processing; critical point normalization; critical point segmentation; drawing representation; drawing tracing; human line drawings; line drawing sequence; local feature extraction; orthonormal transformation; rotation invariance; size invariance; structural representation; Character recognition; Data mining; Engineering drawings; Humans; Intelligent robots; Intelligent systems; Lifting equipment; Pattern recognition; Shape; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 1989. Conference Proceedings., IEEE International Conference on
Conference_Location :
Cambridge, MA
Type :
conf
DOI :
10.1109/ICSMC.1989.71458
Filename :
71458
Link To Document :
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