Title :
3D object recognition with image gradient
Author :
Dong, Xu ; Wenli, Xu
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
The angle between image gradient and the major principal axis of silhouette is proposed to describe 3D object, and the invariance of this description to the density, the orientation of light and the reflection of surface is also deduced in this paper. Using the moment invariants of this description can introduce more 3D information of object and bring higher recognition ratios than using the 2D moment invariant of object silhouettes.
Keywords :
gradient methods; image recognition; invariance; object recognition; 2D moment invariant; 3D object information; 3D object recognition; image gradient method; invariance; object silhouette principal axis; Automation; Costs; Object recognition; Reflection; Signal to noise ratio;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342297
