3D volumetric reconstruction and characterization of objects from uncalibrated images

Three-dimensional (3D) object reconstruction using only bi-dimensional (2D) images has been a major research topic in Computer Vision. However, it is still a complex problem to solve, when automation, speed and precision are required. In the work presented in this paper, we developed a computational platform with the main purpose of building 3D geometric models from uncalibrated images of objects. Simplicity and automation were our major guidelines to choose volumetric reconstruction methods, such as Generalized Voxel Coloring. This method uses photo-consistency measures to build an accurate 3D geometric model, without imposing any kind of restrictions on the relative motion between the camera used and the object to be reconstructed. Our final goal is to use our computational platform in building and characterize human external anatomical shapes using a single off-the-shelf camera.

[1]  Takeo Kanade,et al.  Virtualized Reality: Constructing Virtual Worlds from Real Scenes , 1997, IEEE Multim..

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

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

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

[5]  Kiriakos N. Kutulakos,et al.  A Theory of Shape by Space Carving , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

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

[7]  Richard Szeliski,et al.  Rapid octree construction from image sequences , 1993 .

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

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

[10]  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).

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

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

[13]  Yasemin Kuzu,et al.  PHOTOREALISTIC OBJECT RECONSTRUCTION USING VOXEL COLORING AND ADJUSTED IMAGE ORIENTATIONS , 2002 .

[14]  Daniel Raviv,et al.  3D Surface Reconstruction From 2D Binary Images , 1987, Other Conferences.

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

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

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

[18]  Thomas Fromherz,et al.  Shape from Multiple Cues: Integrating Local Brightness Information , 1995 .

[19]  Paul A. Viola,et al.  Roxels: responsibility weighted 3D volume reconstruction , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.