Presentation 1998/3/6
Pose Estimation of a Polyhedron Using Aspect Identification and Camera Calibration
Kouhei INOUE, Hiroyasu SAKAMOTO,
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Abstract(in English) We propose a method for estimating pose of a polyhedron from its single 2-D observation image under the condition that the 3-D shape is known. Feature points' correspondence between the 2-D image and the 3-D model is obtained by an aspect identificaion scheme based on Ullman's linear combination method[1].The object pose is estimated by fitting 3-D model image to 2-D image. In our method, we extract silhouette of the object from the 2-D image, and we correspond its circumferential vertices to the 3-D model vertices. Hence, it is relatively easy to extract features from the 2-D image, and the number of candidates of the feature correspondences is controlled significantly. Moreover, the cost of iterative calculation in 3-D model fitting is reduced by estimating initial pose parameters by applying a camera calibration method. Our method is applied to systhetic and real images to show effectiveness of the method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) linear combination method / aspect identification / camera calibration / pose estimation
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Committee IE
Conference Date 1998/3/6(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Pose Estimation of a Polyhedron Using Aspect Identification and Camera Calibration
Sub Title (in English)
Keyword(1) linear combination method
Keyword(2) aspect identification
Keyword(3) camera calibration
Keyword(4) pose estimation
1st Author's Name Kouhei INOUE
1st Author's Affiliation Kyushu Institute of Design()
2nd Author's Name Hiroyasu SAKAMOTO
2nd Author's Affiliation Kyushu Institute of Design
Date 1998/3/6
Paper #
Volume (vol) vol.97
Number (no) 590
Page pp.pp.-
#Pages 6
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