3D SYMMETRY DETECTION USING THE EXTENDED GAUSSIAN IMAGE

Authors
SUN CM SHERRAH J
Citation
Cm. Sun et J. Sherrah, 3D SYMMETRY DETECTION USING THE EXTENDED GAUSSIAN IMAGE, IEEE transactions on pattern analysis and machine intelligence, 19(2), 1997, pp. 164-168
Citations number
17
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on pattern analysis and machine intelligence → ACNP
ISSN journal
01628828
Volume
19
Issue
2
Year of publication
1997
Pages
164 - 168
Database
ISI
SICI code
0162-8828(1997)19:2<164:3SDUTE>2.0.ZU;2-I
Abstract
Symmetry detection is important in the area of computer vision. A 3D s ymmetry detection algorithm is presented in this correspondence. The s ymmetry detection problem is converted to the correlation of the Gauss ian image. Once the Gaussian image of the object has been obtained, th e algorithm is independent of the input format. The algorithm can hand le different kinds of images or objects. Simulated and real images hav e been tested in a variety of formats, and the results show that the s ymmetry can be determined using the Gaussian image.