DocumentCode :
2106791
Title :
3D object recognition using multiple features for robotic manipulation
Author :
Lee, Sukhan ; Kim, Eunyoung ; Park, Yeonchool
Author_Institution :
Sch. of Inf. & Commun. Eng., Sung Kyun Kwan Univ., Suwon
fYear :
2006
fDate :
15-19 May 2006
Firstpage :
3768
Lastpage :
3774
Abstract :
For robust 3D object recognition in the environment having diverse variances, it is necessary to increase the certainty by using consecutive scenes rather than using a single scene and combining different features. This paper proposes a novel 3D object recognition and pose estimation approach based on combining photometric feature (SIFT) and geometric feature (3D lines) in a sequence of scenes. In order to utilize the consecutive scenes, we use the particle filtering method and all particles which represent the possible pose of object are generated by each feature. These particles are to be spread out where the object is considered to exist, and the probability of each particle is obtained through matching test with each feature in the scene. Then the particle sets derived from SIFT and 3D lines are fused and it gives a pose of the object estimated. For the sake of computational efficiency, this recognition system is performed in a hierarchical process. In this paper, we also introduce a simple method to decide the next best view position based on results of recognition. Lastly we have proved through experiments that the proposed methods are feasible
Keywords :
feature extraction; image matching; object recognition; particle filtering (numerical methods); path planning; photometry; robot vision; 3D object recognition; geometric feature; particle filtering method; photometric feature; pose estimation; robotic manipulation; Computational efficiency; Diversity reception; Filtering; Layout; Object recognition; Photometry; Robots; Robustness; Shape; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1050-4729
Print_ISBN :
0-7803-9505-0
Type :
conf
DOI :
10.1109/ROBOT.2006.1642278
Filename :
1642278
Link To Document :
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