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http://dx.doi.org/10.3745/KIPSTB.2003.10B.2.135

3D Object's shape and motion recovery using stereo image and Paraperspective Camera Model  

Kim, Sang-Hoon (국립환경대학교 정보제어공학과)
Abstract
Robust extraction of 3D object's features, shape and global motion information from 2D image sequence is described. The object's 21 feature points on the pyramid type synthetic object are extracted automatically using color transform technique. The extracted features are used to recover the 3D shape and global motion of the object using stereo paraperspective camera model and sequential SVD(Singuiar Value Decomposition) factorization method. An inherent error of depth recovery due to the paraperspective camera model was removed by using the stereo image analysis. A 30 synthetic object with 21 features reflecting various position was designed and tested to show the performance of proposed algorithm by comparing the recovered shape and motion data with the measured values.
Keywords
Object Detection; Stereo Image; Paraperspective Camera Model; SVD; 3D Motion Recovery;
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