Description of 3D object in range image

Author

Xu, Guangyou ; Wan, Xiang

Author_Institution

Dept. of Comput. Sci., Tsinghua Univ., Beijing, China

fYear

1988

Firstpage

20

Abstract

A method is presented for the segmentation and description of 3-D objects in a range image. The image is segmented in two parallel ways: by region classification based on surface normal analysis and by edge detection using a relaxation process. The two results are combined by a small rule-based system to obtain a more reliable segmentation. Features of the 3D object at different levels are extracted and a surface attributes graph is constructed. This kind of view-independent description of 3D objects is effective and robust for object recognition and location. The objects considered are industrial parts composed of planes and quadric surfaces. The range image is provided by a laser scanner

Keywords

computerised pattern recognition; computerised picture processing; knowledge based systems; 3-D objects; computerised picture processing; edge detection; image recognition; industrial parts; laser scanner; object description; object location; pattern recognition; planes; quadric surfaces; range image; region classification; relaxation process; rule-based system; surface attributes graph; surface normal analysis; view-independent description; Computer science; Feature extraction; Filtering; Image analysis; Image edge detection; Image segmentation; Knowledge based systems; Object recognition; Robustness; Surface fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1988., 9th International Conference on

Conference_Location

Rome

Print_ISBN

0-8186-0878-1

Type

conf

DOI

10.1109/ICPR.1988.28162

Filename

28162