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Object and Pose Recognition with Boundary Extraction from 3 Dimensional Depth Information  

Gim, Seong-Chan (SAMSUNG)
Yang, Chang-Ju (Electronic and Information Engineering Faculty, Chonbuk National University)
Lee, Jun-Ho (Electronic and Information Engineering Faculty, Chonbuk National University)
Kim, Jong-Man (Department of Renewable energy electricity, Jeonnam Provincial College)
Kim, Hyoung-Suk (Electronic and Information Engineering Faculty, Chonbuk National University)
Publication Information
Abstract
Stereo vision approach to solve the problem using a single camera three dimension precise distance measurement and object recognition method is proposed. Precise three dimensional information of objects can be obtained using single camera, a laser light and a rotating flat mirror. With a simple thresholding operation on the depth information, the segmentations of objects can be obtained. Comparing the signatures of object boundaries with database, objects can be recognized. Improving the simulation results for the object recognition by precise distance measurement are presented.
Keywords
거리정보;물체 윤곽정보;시그니처;물체인식;물체 자세인식;
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Times Cited By KSCI : 1  (Citation Analysis)
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