Presentation 2009/1/5
POSITION AND POSTURE ESTIMATION OF 3D-OBJECT USING COLOR AND DISTANCE INFORMATION(International Workshop on Advanced Image Technology 2009)
Hyun-Jong Ji, Rina Takahashi, Tomoharu Nagao,
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Abstract(in English) Recently, autonomous robots which can achieve the complex tasks have been required with the advance of robotics. Advanced robot vision for recognition is necessary for the realization of such robots. In this paper, we propose a method to recognize an object in the actual environment. We assume that a 3D-object model used in our proposal method is the voxel data. Its inside is full up and its surface has color information. We also define the word "recognition" as the estimation of a target object's condition. This condition means the posture and the position of a target object in the actual environment. The proposal method consists of three steps. In Step 1, we extract features from the 3D-object model. In Step 2, we estimate the position of the target object. At last, we estimate the posture of the target object in Step 3. And we experiment in the actual environment. We also confirm the performance of our proposal method from results.
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Keyword(in English) object recognition / posture estimation / robot vision / evolutionary computation
Paper # IE2008-135
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Committee IE
Conference Date 2009/1/5(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) POSITION AND POSTURE ESTIMATION OF 3D-OBJECT USING COLOR AND DISTANCE INFORMATION(International Workshop on Advanced Image Technology 2009)
Sub Title (in English)
Keyword(1) object recognition
Keyword(2) posture estimation
Keyword(3) robot vision
Keyword(4) evolutionary computation
1st Author's Name Hyun-Jong Ji
1st Author's Affiliation Graduate School of Environment and Information Sciences Yokohama National University()
2nd Author's Name Rina Takahashi
2nd Author's Affiliation Graduate School of Environment and Information Sciences Yokohama National University
3rd Author's Name Tomoharu Nagao
3rd Author's Affiliation Graduate School of Environment and Information Sciences Yokohama National University
Date 2009/1/5
Paper # IE2008-135
Volume (vol) vol.108
Number (no) 373
Page pp.pp.-
#Pages 6
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