DocumentCode :
3188198
Title :
Real Time Detection and Segmentation of Reflectionally Symmetric Objects in Digital Images
Author :
Wai Ho Li ; Zhang, Alan M. ; Kleeman, Lindsay
Author_Institution :
Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic.
fYear :
2006
fDate :
9-15 Oct. 2006
Firstpage :
4867
Lastpage :
4873
Abstract :
Symmetry is a salient visual feature of many man-made objects. This paper describes research into the detection and segmentation of reflectionally symmetric objects in digital images, without the use of a priori object models. The detection method does not assume uniform object colour or texture, and does not rely on prebuilt models such as 3D geometric primitives. A novel detection algorithm has been developed to find lines of reflectional symmetry in images. This detection algorithm can operate at 10 frames per second on 640 by 480 pixel images. Using the detected symmetry, objects are segmented with a dynamic programming approach. Both algorithms have been extended to accommodate skew symmetry
Keywords :
dynamic programming; image segmentation; object detection; robot vision; symmetry; digital images; dynamic programming; image segmentation; man-made objects; real time detection; reflectionally symmetric objects; salient visual feature; Detection algorithms; Digital images; Image segmentation; Intelligent robots; Object detection; Object segmentation; Pixel; Real time systems; Robotics and automation; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282442
Filename :
4059190
Link To Document :
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