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Fundamental Matrix Estimation and Key Frame Selection for Full 3D Reconstruction Under Circular Motion  

Kim, Sang-Hoon (Dept. of Image Engineering, GSAIM, Chung-Ang University)
Seo, Yung-Ho (Dept. of Image Engineering, GSAIM, Chung-Ang University)
Kim, Tae-Eun (Dept. of Multimedia, NamSeoul University)
Choi, Jong-Soo (Dept. of Image Engineering, GSAIM, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.2, 2009 , pp. 10-23 More about this Journal
Abstract
The fundamental matrix and key frame selection are one of the most important techniques to recover full 3D reconstruction of objects from turntable sequences. This paper proposes a new algorithm that estimates a robust fundamental matrix for camera calibration from uncalibrated images taken under turn-table motion. Single axis turntable motion can be described in terms of its fixed entities. This provides new algorithms for computing the fundamental matrix. From the projective properties of the conics and fundamental matrix the Euclidean 3D coordinates of a point are obtained from geometric locus of the image points trajectories. Experimental results on real and virtual image sequences demonstrate good object reconstructions.
Keywords
3D reconstruction; fundamental matrix; calibration; projection matrix; key frame;
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