Octree-based fusion of shape from silhouette and shape from structured light

An algorithm for the automatic construction of a 3d model of archaeological vessels using two different 3d algorithms is presented. In archeology the determination of the exact volume of arbitrary vessels is of importance since this provides information about the manufacturer and the usage of the vessel. To acquire the 3d shape of objects with handles is complicated, since occlusions of the object's surface are introduced by the handle and can only be resolved by taking multiple views. Therefore, the 3d reconstruction is based on a sequence of images of the object taken from different viewpoints with different algorithms; shape from silhouette and shape from structured light. The output of both algorithms are then used to construct a single 3d model. Results of the algorithm developed are presented for both synthetic and real input images.

[1]  Jake K. Aggarwal,et al.  Volume/surface octrees for the representation of three-dimensional objects , 1986, Comput. Vis. Graph. Image Process..

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

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

[4]  Concettina Guerra,et al.  Proceedings of the First International Symposyum on 3D Data Processing Visualization and Transmission , 2002 .

[5]  Wolfgang Niem,et al.  Robust and fast modeling of 3D natural objects from multiple views , 1994, Electronic Imaging.

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

[7]  R. Y. Tsai,et al.  An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision , 1986, CVPR 1986.

[8]  Avinash C. Kak,et al.  Dual-beam structured-light scanning for 3-D object modeling , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[9]  Jake K. Aggarwal,et al.  Volumetric Descriptions of Objects from Multiple Views , 1983, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Narendra Ahuja,et al.  EFFICIENT OCTREE GENERATION FROM SILHOUETTES. , 1986 .

[11]  Robert Sablatnig,et al.  Estimating the next sensor position based on surface characteristics , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[12]  Thomas O. Binford,et al.  On Detecting Edges , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  S. Suess,et al.  Three dimensional modelling , 1974 .

[14]  Mohan M. Trivedi,et al.  3-D Computer Vision Using Structured Light: Design, Calibration, and Implementation Issues , 1996, Adv. Comput..

[15]  Martin Kampel,et al.  Automated 3D Recording of Archaeological Pottery , 2001, ICHIM.

[16]  Xing Chen,et al.  A laser range scanner designed for minimum calibration complexity , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[17]  Michael Potmesil Generating octree models of 3D objects from their silhouettes in a sequence of images , 1987, Comput. Vis. Graph. Image Process..

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

[19]  C. Orton,et al.  Pottery in archaeology , 1995 .