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15th International Conference on Pattern Recognition (ICPR'00) - Volume 1
Recognizing Articulated Objects Using Invariance
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
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Isaac Weiss, Manjit Ray, "Recognizing Articulated Objects Using Invariance," Pattern Recognition, International Conference on, vol. 1, pp. 1055, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000.
 
 
BibTex
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@article{ 10.1109/ICPR.2000.905275,
author = {Isaac Weiss and Manjit Ray},
title = {Recognizing Articulated Objects Using Invariance},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2000},
isbn = {0-7695-0750-6},
pages = {1055},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.905275},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Recognizing Articulated Objects Using Invariance
SN - 0-7695-0750-6
SP
EP
A1 - Isaac Weiss,
A1 - Manjit Ray,
PY - 2000
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Isaac Weiss, University of Maryland at College Park
Manjit Ray, University of Maryland at College Park
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 backhoes.
Citation:
Isaac Weiss, Manjit Ray, "Recognizing Articulated Objects Using Invariance," icpr, vol. 1, pp.1055, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 1, 2000
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