A Study on the Relative Pose Problem in an Active Vision System with varying Focal Lengths

In this work, the relative pose problem is addressed in our structured light system. Assuming that there is an arbitrary planar structure in the scene, we suggest a method for estimating the rotation matrix and translation vector between the camera and the projector. In this system, the varying focal lengths of the camera are allowed and can be obtained without any further assumptions. Finally, we give some experimental results to validate this method.

[1]  Ian D. Reid,et al.  Duality, Rigidity and Planar Parallax , 1998, ECCV.

[2]  出口 光一郎.  Autocalibration of a Projector-Camera System , 2005 .

[3]  Thomas S. Huang,et al.  Estimating three-dimensional motion parameters of a rigid planar patch, II: Singular value decomposition , 1982 .

[4]  Youfu Li,et al.  Self-recalibration of a structured light system via plane-based homography , 2007, Pattern Recognit..

[5]  David Nistér,et al.  An efficient solution to the five-point relative pose problem , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[6]  P. Anandan,et al.  Direct Recovery of Planar-Parallax from Multiple Frames , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  R. A. Owens,et al.  Calibrating a Structured Light Stripe System: A Novel Approach , 1999, International Journal of Computer Vision.

[8]  Alan M. McIvor,et al.  Accurate 3D measurement using a structured light system , 1998, Image Vis. Comput..

[9]  Shengyong Chen,et al.  Self-recalibration of a colour-encoded light system for automated 3-d measurements , 2003 .

[10]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Shengyong Chen,et al.  Automatic recalibration of an active structured light vision system , 2003, IEEE Trans. Robotics Autom..

[12]  A. Hanson,et al.  Scaled Euclidean 3D reconstruction based on externally uncalibrated cameras , 1995, Proceedings of International Symposium on Computer Vision - ISCV.

[13]  Mongi A. Abidi,et al.  A New Efficient and Direct Solution for Pose Estimation Using Quadrangular Targets: Algorithm and Evaluation , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Marc Pollefeys,et al.  Auto-calibration of multi-projector display walls , 2004, ICPR 2004.

[15]  Harpreet S. Sawhney,et al.  3D geometry from planar parallax , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[16]  P. Anandan,et al.  Direct Recovery of Planar-Parallax from Multiple Frames , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Xiaochun Cao,et al.  Self-calibration from turn-table sequences in presence of zoom and focus , 2006, Comput. Vis. Image Underst..

[18]  Peter C. Y. Chen,et al.  Focal length calibration from two views: method and analysis of singular cases , 2005, Comput. Vis. Image Underst..

[19]  Paul D. Fiore,et al.  Efficient Linear Solution of Exterior Orientation , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Paul M. Griffin,et al.  Generation of uniquely encoded light patterns for range data acquisition , 1992, Pattern Recognit..

[21]  Youfu Li,et al.  Self-recalibration of a colour-encoded light system for automated three-dimensional measurements , 2003 .