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Optical Engineering

Optimal keyframe selection algorithm for three-dimensional reconstruction in uncalibrated multiple images
Author(s): Yung-Ho Seo; Sang-Hoon Kim; Kyoung-Soo Doo; Jong-Soo Choi
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Paper Abstract

A keyframe selection algorithm is the process of selecting the essential image for 3-D reconstruction from among many uncalibrated images. Camera autocalibration between images is also essential for 3-D reconstruction. This paper proposes a keyframe selection algorithm that selects the best image to reduce reprojection error. The camera projection matrix in the selected keyframe arises from a full camera autocalibration process. From the camera projection matrix, which is assumed exact, the algorithm calculates the fundamental matrix using algebraic derivation. By this process, false matching is eliminated and finally a 3-D data set is obtained. In our experimental results, the proposed algorithm needs less time than other algorithms; it also has fewer errors in the reconstructed 3-D data. The fundamental matrix that is gained from algebraic derivation takes less time than other algorithms, and it has same average error as the others.

Paper Details

Date Published: 1 May 2008
PDF: 12 pages
Opt. Eng. 47(5) 053201 doi: 10.1117/1.2919801
Published in: Optical Engineering Volume 47, Issue 5
Show Author Affiliations
Yung-Ho Seo, Chung-Ang Univ. (South Korea)
Sang-Hoon Kim, Chung-Ang Univ. (South Korea)
Kyoung-Soo Doo, Chung-Ang Univ. (South Korea)
Jong-Soo Choi, Chung-Ang Univ. (South Korea)

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