High-resolution shape reconstruction from multiple range images based on simultaneous estimation of surface and motion

Recognition of dynamic scenes based on shape information could be useful for various applications. In this study, we aimed at improving the resolution of three-dimensional (3D) data obtained from moving targets. We present a simple clean and robust method that jointly estimates motion parameters and a high-resolution 3D shape. Experimental results are provided to illustrate the performance of the proposed algorithm.

[1]  Russell C. Hardie,et al.  Joint MAP registration and high-resolution image estimation using a sequence of undersampled images , 1997, IEEE Trans. Image Process..

[2]  Richard K. Beatson,et al.  Reconstruction and representation of 3D objects with radial basis functions , 2001, SIGGRAPH.

[3]  Masatoshi Ishikawa,et al.  Integration of time-sequential range images for reconstruction of a high-resolution 3D shape , 2008, 2008 19th International Conference on Pattern Recognition.

[4]  Robert B. Fisher,et al.  Estimating 3-D rigid body transformations: a comparison of four major algorithms , 1997, Machine Vision and Applications.

[5]  Hans-Peter Seidel,et al.  Multi-level partition of unity implicits , 2003, ACM Trans. Graph..

[6]  Greg Turk,et al.  Reconstructing surfaces using anisotropic basis functions , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[7]  Masatoshi Ishikawa,et al.  955-fps Real-time Shape Measurement of a Moving/Deforming Object using High-speed Vision for Numerous-point Analysis , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[8]  Marc Levoy,et al.  Real-time 3D model acquisition , 2002, ACM Trans. Graph..

[9]  Marc Alexa,et al.  Computing and Rendering Point Set Surfaces , 2003, IEEE Trans. Vis. Comput. Graph..

[10]  Olivier D. Faugeras,et al.  Shape From Shading , 2006, Handbook of Mathematical Models in Computer Vision.

[11]  Moon Gi Kang,et al.  Super-resolution image reconstruction , 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

[12]  Peter Johannes Neugebauer,et al.  Geometrical cloning of 3D objects via simultaneous registration of multiple range images , 1997, Proceedings of 1997 International Conference on Shape Modeling and Applications.

[13]  Marc Levoy,et al.  A volumetric method for building complex models from range images , 1996, SIGGRAPH.

[14]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[15]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[16]  Julius Ziegler,et al.  Tracking of the Articulated Upper Body on Multi-View Stereo Image Sequences , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[17]  K. Ikeuchi,et al.  Robust Simultaneous Registration of Multiple Range Images , 2008 .

[18]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[19]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..