DocumentCode
1742694
Title
Recognizing articulated objects using invariance
Author
Weiss, Isaac ; Ray, Manjit
Author_Institution
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Volume
1
fYear
2000
fDate
2000
Firstpage
55
Abstract
Articulated objects can have many degrees of freedom. Recognizing such an object in a single image can involve a search in a high-dimensional space that involves all these degrees of freedom, in addition to the usual unknown viewpoint. In this paper we use invariance to reduce this search space to a manageable size. Our method avoids feature detection for improved robustness. We apply the method to range images of objects such as back-hoes
Keywords
feature extraction; image segmentation; invariance; object recognition; pattern matching; articulated object recognition; feature extraction; high-dimensional space; image segmentation; invariance; pattern matching; range images; search space; Arm; Automation; Educational institutions; Feature extraction; Image databases; Image recognition; Image segmentation; Noise robustness; Noise shaping; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.905275
Filename
905275
Link To Document