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CLC number: P234.1

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Received: 2007-01-10

Revision Accepted: 2007-05-08

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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.10 P.1614~1623

10.1631/jzus.2007.A1614


A practical iterative two-view metric reconstruction with uncalibrated cameras


Author(s):  ZHOU Yong-jun, KOU Xin-jian

Affiliation(s):  Schoo1 of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   yjzhou@sjtu.edu.cn

Key Words:  Close-range photogrammetry, Computer vision, General relative orientation, Unit quaternion, Metric reconstruction


ZHOU Yong-jun, KOU Xin-jian. A practical iterative two-view metric reconstruction with uncalibrated cameras[J]. Journal of Zhejiang University Science A, 2007, 8(10): 1614~1623.

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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A1614

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T1 - A practical iterative two-view metric reconstruction with uncalibrated cameras
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A1 - KOU Xin-jian
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DOI - 10.1631/jzus.2007.A1614


Abstract: 
This paper presents a practical iterative algorithm for two-view metric reconstruction without any prior knowledge about the scene and motion in a nonsingular geometry configuration. The principal point is assumed to locate at the image center with zero skew and the same aspect ratio, and the interior parameters are fixed, so the self-calibration becomes focal-length calibration. Existing focal length calibration methods are direct solutions of a quadric composed of fundamental matrix, which are sensitive to noise. A quaternion-based linear iterative Least-Square Method is proposed in this paper, and one-dimensional searching for optimal focal length in a constrained region instead of solving optimization problems with inequality constraints is applied to simplify the computation complexity, then unique rotational matrix and translate vector are recovered. Experiments with simulation data and real images are given to verify the algorithm.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[9] Newsam, G.N., Huynh, D.Q., Brooks, M.J., Pan, H.P., 1996. Recovering unknown focal lengths in self-calibration: an essentially linear algorithm and degenerate configurations. Int. Arch. Photogram. Remote Sensing, XXXI(B3):575-580.

[10] Pan, H.P., Huynh, D.Q., Hamlyn, G., 1995. Two-image resituation: practical algorithm. Proc. SPIE, 2598:174-190.

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[14] Ueshiba, T., Tomita, F., 2003. Self-calibration from Two Perspective Views under Various Conditions: Closed-form Solutions and Degenerate Configurations. Proc. Australia-Japan Advanced Workshop on Computer Vision. Adelaide, Australia, p.118-125.

[15] Ueshiba, T., Tomita, F., 2004. A Closed-form Solution for a Two-view Self-calibration Problem under Fixation. Proc. 2nd Int. Symp. on 3D Data Processing, Visualization and Transmission, p.648-655.

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