DocumentCode :
2029762
Title :
Detection of skewed-symmetrical shape
Author :
Sugimoto, Kazuhide ; Tomita, Fumiaki
Author_Institution :
Real World Comput. Partnership, Ibaraki, Japan
Volume :
1
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
696
Abstract :
There is a new approach to define objects qualitatively and hierarchically by generic shapes (we call them primitives) arranged by generic relations so that a class of objects has the same description and to recognize them in a parallel and bottom-up way in the image. This paper presents a method to find a skewed symmetrical pattern in the image as a higher-order primitive which is defined by lower-order primitives such as line segments, curved segments, or the pairs of segments arranged by the relation skewed symmetry since a bilaterally symmetrical figure on an arbitrarily oriented plane viewed under orthographic projection yields a skewed symmetrical figure whose axes of symmetry and skew constrain the orientation of the underlying plane. The proposed method can detect the accurate skewed symmetrical axes of not only polygonal patterns but also curved patterns in a complex image even if some parts of the patterns are occluded
Keywords :
image recognition; image segmentation; object recognition; arbitrarily oriented plane; bilaterally symmetrical figure; complex image; curved patterns; curved segments; generic relations; generic shapes; higher-order primitive; line segments; lower-order primitives; orthographic projection; polygonal patterns; primitives; shape detection; skewed-symmetrical shape; Computer vision; Concurrent computing; Image recognition; Image segmentation; Laboratories; Noise robustness; Object recognition; Roads; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413404
Filename :
413404
Link To Document :
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