External anatomical shapes reconstruction from turntable image sequences using a single off-the-shelf camera

Three-dimensional (3D) human body reconstruction and modeling from two-dimensional (2D) images is a topic of great interest and research but still remains a difficult problem to solve. Volumetric based methods are commonly used to solve this type of problem. With those methods, from a turntable image sequence of an object, a 3D model can be built. The final goal of the work presented in this paper is to reconstruct all-round 3D models of external anatomical shapes with good accuracy and photorealistic appearance, using a single off-the-shelf camera and a volumetric method.

[1]  Fabio Remondino.  3D Reconstruction of Static Human Body with a Digital Camera , 2003, IS&T/SPIE Electronic Imaging.

[2]  Ioannis A. Kakadiaris,et al.  Estimating anthropometry and pose from a single image , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[3]  A. Laurentini,et al.  The Visual Hull Concept for Silhouette-Based Image Understanding , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Kazuhiko Takahashi,et al.  Remarks on a real-time, noncontact, nonwear, 3D human body posture estimation method , 2000, Systems and Computers in Japan.

[5]  Thomas Malzbender,et al.  A Survey of Methods for Volumetric Scene Reconstruction from Photographs , 2001, VG.

[6]  Roberto Cipolla,et al.  Structure and motion from silhouettes , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[7]  Helder Araújo,et al.  Iterative multi-step explicit camera calibration , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[8]  R. Hartley.  Triangulation, Computer Vision and Image Understanding , 1997 .

[9]  Edmond Boyer,et al.  Visual Shapes of Silhouette Sets , 2006, 3DPVT.

[10]  R Sader,et al.  Three-dimensional recording of the human face with a 3D laser scanner. , 2006, Journal of plastic, reconstructive & aesthetic surgery : JPRAS.

[11]  Kiriakos N. Kutulakos,et al.  A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.

[12]  Bill Triggs,et al.  Autocalibration and the absolute quadric , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Nader Bagherzadeh,et al.  CARVING 3D MODELS FROM UNCALIBRATED VIEWS , 2002 .

[14]  Fabio Remondino,et al.  3-D reconstruction of static human body shape from image sequence , 2004, Comput. Vis. Image Underst..

[15]  Narendra Ahuja,et al.  Octree Generation from Object Silhouettes in Perspective Views , 1990, Comput. Vis. Graph. Image Process..

[16]  S. J. Marshall,et al.  Human body 3D imaging by speckle texture projection photogrammetry , 2000 .

[17]  Lina Massone,et al.  Shape From Occluding Contours , 1985, Other Conferences.

[18]  W. Boehler,et al.  THE POTENTIAL OF NON-CONTACT CLOSE RANGE LASER SCANNERS FOR CULTURAL HERITAGE RECORDING , 2001 .

[19]  Takeo Kanade,et al.  Shape and motion carving in 6D , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[20]  Daniel Thalmann.  Human Modelling and Animation , 1993 .

[21]  D. Chorvat.  Three-dimensional measurement of human face with structured-light illumination , 2006 .

[22]  Ian D. Reid,et al.  Self-Calibration of a Rotating Camera with Varying Intrinsic Parameters , 1998, BMVC.

[23]  Nicola D'Apuzzo,et al.  Modeling human faces with multi-image photogrammetry , 2002, IS&T/SPIE Electronic Imaging.

[24]  Alexandru Tupan,et al.  Triangulation , 1997, Comput. Vis. Image Underst..

[25]  Janne Heikkilä,et al.  A four-step camera calibration procedure with implicit image correction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[26]  Steven M. Seitz,et al.  Photorealistic Scene Reconstruction by Voxel Coloring , 1997, International Journal of Computer Vision.

[27]  O. Faugeras.  Three-dimensional computer vision: a geometric viewpoint , 1993 .

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

[29]  Luc Van Gool,et al.  Markerless tracking of complex human motions from multiple views , 2006, Comput. Vis. Image Underst..

[30]  Stephen J Marshall,et al.  New Opportunities in Non-Contact 3D Measurement , 2001 .

[31]  Won-Sook Lee,et al.  Analysis of segmented human body scans , 2007, GI '07.

[32]  P. Tikuisis,et al.  Human body surface area: measurement and prediction using three dimensional body scans , 2001, European Journal of Applied Physiology.

[33]  Kazuhiko Takahashi,et al.  Remarks on a real-time, noncontact, nonwear, 3D human body posture estimation method , 2000, Systems and Computers in Japan.

[34]  Richard I. Hartley.  Self-Calibration from Multiple Views with a Rotating Camera , 1994, ECCV.

[35]  Minoru Ito.  Robot vision modelling-camera modelling and camera calibration , 1990, Adv. Robotics.

[36]  Thomas Malzbender,et al.  Volumetric Warping for Voxel Coloring on an Infinite Domain , 2000, SMILE.

[37]  Helder Araújo,et al.  Iterative multistep explicit camera calibration , 1999, IEEE Trans. Robotics Autom..

[38]  Jitendra Malik,et al.  Recovering 3D human body configurations using shape contexts , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[39]  Y. Ge,et al.  Noncontact 3D biological shape measurement from multiple views , 1994 .

[40]  Aly A. Farag,et al.  Neurocalibration: a neural network that can tell camera calibration parameters , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[41]  Kiriakos N. Kutulakos.  Shape from the light field boundary , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[42]  Jean Ponce,et al.  Computer Vision: A Modern Approach , 2002 .

[43]  Li Zhang,et al.  Rapid shape acquisition using color structured light and multi-pass dynamic programming , 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.

[44]  Michael G. Strintzis,et al.  Real-time acquisition of depth and color images using structured light and its application to 3D face recognition , 2005, Real Time Imaging.

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

[46]  J. I. González,et al.  Estudio experimental de metodos de calibracion y autocalibracion de camaras , 2003 .

[47]  Marie-Odile Berger,et al.  3D Surface Reconstruction Using Occluding Contours , 2004, International Journal of Computer Vision.

[48]  Paul R. Cohen,et al.  Camera Calibration with Distortion Models and Accuracy Evaluation , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[49]  Demetri Terzopoulos,et al.  Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..

[50]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[51]  Thomas Malzbender,et al.  Generalized Voxel Coloring , 1999, Workshop on Vision Algorithms.

[52]  Marianne Dooley,et al.  Anthropometric Modeling Programs-A Survey , 1982, IEEE Computer Graphics and Applications.

[53]  Marc Levoy,et al.  The digital Michelangelo project: 3D scanning of large statues , 2000, SIGGRAPH.

[54]  Jitendra Malik,et al.  Recovering photometric properties of architectural scenes from photographs , 1998, SIGGRAPH.

[55]  Paolo Cignoni,et al.  A low cost 3D scanner based on structured light , 2001 .

[56]  Long Quan,et al.  Recent Methods for Reconstructing Surfaces from Multiple Images , 2004, IWMM/GIAE.

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