3D object recognition using qualitative features

Author

SiYang, Gu ; Pengfei, Shi ; Jiegu, Li

Author_Institution

Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China

fYear

1994

fDate

13-16 Apr 1994

Firstpage

205

Abstract

We present a vision system that can be to recognize 3D objects. Surfaces are characterized by surface curvature. Qualitative features are shown to be effective in pruning the search space of possible scene interpretations explored by the recognition and localization technique. Within this paradigm, we implemented a system which extracts planar patches, and patches of quadrics of revolution from a depth map. Reconstructed features are indexed into a model database to verify object hypotheses using the Hough technique. Our approach is surface based and is not sensitive to noise or occlusion

Keywords

computer vision; feature extraction; 3D object recognition; Hough technique; depth map; localization technique; model database; object hypotheses; planar patches; quadrics of revolution; qualitative features; recognition technique; reconstructed features; scene interpretations; search space pruning; surface curvature; vision system; Character recognition; Image processing; Image recognition; Image segmentation; Layout; Machine vision; Object recognition; Pattern recognition; Shape; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344931

Filename

344931