DocumentCode
1492871
Title
3D symmetry detection using the extended Gaussian image
Author
Sun, Changming ; Sherrah, Jamie
Author_Institution
Div. of Math. & Stat., CSIRO, North Ryde, NSW, Australia
Volume
19
Issue
2
fYear
1997
fDate
2/1/1997 12:00:00 AM
Firstpage
164
Lastpage
168
Abstract
Symmetry detection is important in the area of computer vision. A 3D symmetry detection algorithm is presented in this paper. The symmetry detection problem is converted to the correlation of the Gaussian image. Once the Gaussian image of the object has been obtained, the algorithm is independent of the input format. The algorithm can handle different kinds of images or objects. Simulated and real images have been tested in a variety of formats, and the results show that the symmetry can be determined using the Gaussian image
Keywords
computer vision; correlation methods; object recognition; search problems; stereo image processing; 3D symmetry detection; Gaussian image; computer vision; correlation; orientation histogram; principal axis; reflectional symmetry; rotational symmetry; search space; sphere tessellation; Computed tomography; Computer vision; Detection algorithms; Histograms; Image edge detection; Magnetic resonance imaging; Object detection; Reflection; Sun; Testing;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.574800
Filename
574800
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