Title :
3-D object pose estimation based on iterative image matching: Shading and edge data fusion
Author :
Nomura, Yoshihiko ; Zhang, Dili ; Sakaida, Yuko ; Fujii, Seizo
Author_Institution :
Sch. of Eng., Nagoya Univ., Japan
Abstract :
Based on model-driven image matching, the 3-D object pose is iteratively estimated. Shading images and edge images are synthesized from an abject model, and are matched, individually, with the input images by using a nonlinear least-squares method. The fusion of the shading and the edge information is achieved choosing the better of the two pieces of image matching
Keywords :
edge detection; image matching; least squares approximations; object recognition; 3D object pose estimation; edge data fusion; iterative image matching; model-driven image matching; nonlinear least-squares method; shading; Cameras; Humans; Image matching; Image recognition; Image segmentation; Least squares methods; Object recognition; Optical reflection; Shape; Surface reconstruction;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546079
