ABSTRACT
A system that constructs a three dimensional model using two dimensional images taken from multiple view-points is presented. This system improves upon existing work by including several optimisations and extensions to cater for poor lighting. This system was developed with the modeling of African artworks in mind. As these artifacts are often located in remote areas, our system has to be robust enough to deal with less than ideal lighting conditions.The images used as input are obtained by filming an object, which is being rotated on a turntable. The modeling process begins with the extraction of "silhouettes" from the input images. These silhouettes are used in conjunction with the camera model to construct a volumetric representation. Following this, a surface model, consisting of a triangular mesh, is created. Finally, the surface model is texture mapped.
- A. Efros. and T. Leung. Texture synthesis by nonparameteric sampling. In In Proc. Int'l Conference on Computer Vision, Corfu., 1999.]] Google ScholarDigital Library
- A. Fitzgibbon, G. Cross, and A. Zisserman. Automatic 3d model construction for turn-table sequences. In In 3D Structure from Multiple Images of Large-Scale Environments, European Workshop SMILE'98, Lecture Notes in Computer Science 1506, pages 155-170, 1998.]] Google ScholarDigital Library
- Fusiello, A. Roberto, V. and Trucco, E. Efficient stereo with multiple windowing. Technical report, Machine Vision Laboratory, Dept. of Informatics, University of Udine, Italy, 1997.]]Google Scholar
- D. P. Gibson, N. W. Campbell, and B. T. Thomas. Iterative generation of 3-d models from a set of 2-d images. In Eurographics UK 1998, pages 135-145. Leeds University, March 1998.]]Google Scholar
- J. J. Koenderink. What does the occluding contour tell us about solid shape. Perception, 13:321-330, 1984.]]Google ScholarCross Ref
- A. Laurentini. How Far Shapes Can Be Understood from 2D Silhouettes. IEEE Trans. Pattern Analysis and Machine Intelligence, 17(2):188-195, 1995.]] Google ScholarDigital Library
- S. Laveau and Z. Zhang. Computation of the epipolar geometry, http://www-sop.inria.fr/robotvis/demo/f-http/html/. July 1995.]]Google Scholar
- M. Levoy, K. Pulli, B. Curless, S. Rusinkiewicz, D. Koller, L. Pereira, M. Ginzton, S. Anderson, J. Davis, J. Ginsberg, J. Shade, and D. Fulk. The digital michelangelo project: 3D scanning of large statues. In K. Akeley, editor, Siggraph 2000, Computer Graphics Proceedings, pages 131-144. ACM Press / ACM SIGGRAPH / Addison Wesley Longman, 2000.]] Google ScholarDigital Library
- W.E. Lorensen and H. E. Cline. Marching cubes: A high resolution 3D surface construction algorithm. volume 21, pages 163-169, 1987.]] Google ScholarDigital Library
- W. Niem. Robust and fast modelling of 3d natural objects from multiple views. In SPIE Proceedings, Image and Video Processing II, volume 2182, pages 388-397, 1994.]]Google ScholarCross Ref
- W. Niem. Error analysis for silhouette-based 3D shape estimation from multiple views. In In Proc. Int. Workshop on Synthetic-Natural Hybrid Coding and Three-Dimensional Imaging, 1997.]]Google Scholar
- W. Niem and J. Wingbermuhle. Automatic reconstruction of 3d objects using a mobile monoscopic camera. In Proc. International Conference on Recent Advances in 3D Imaging and Modelling, Ottawa, Canada, May 1997.]] Google ScholarDigital Library
- F. Nooruddin and G. Turk. Simplification and repair of polygonal models using volumetric techniques. Technical Report GIT-GVU-99-37, Graphics, Visualization and Usability Center, Georgia Institute of Technology, 1999.]]Google Scholar
- E. Ofek, E. Shilat, A. Rappopport, and M. Werman. Highlight and Reflection Independent Multiresolution Textures from Image Sequences. IEEE Computer Graphics and Applications, 17(2), March-April 1997.]] Google ScholarDigital Library
- M. Pollefeys, R. Koch, and L. V. Gool. Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. In Proceedings of 6th International Conference on Computer Vision, pages 90-95, 1998.]] Google ScholarDigital Library
- P. V. Sander, X. Gu, S. J. Gortler, H. Hoppe, and J. Snyder. Silhouette clipping. In K. Akeley, editor, Siggraph 2000, Computer Graphics Proceedings, pages 327-334. ACM Press / ACM SIGGRAPH / Addison Wesley Longman, 2000.]] Google ScholarDigital Library
- G. Taubin. A signal processing approach to fair surface design. Computer Graphics, 29(Annual Conference Series):351-358, 1995.]] Google ScholarDigital Library
- J.T. Tou and R. C. Gonzalez. Pattern Recognition Principles. Addison-Wesley, Reading, Massachusetts, U.S.A., 1974.]]Google Scholar
- R. Tsai. A versatile camera calibration technique for high-accuracy 3-D machine vision metrology using off-the-shelf TV cameras and lenses. In L. Wolff, S. Shafer, and G. Healey, editors, Radiometry - (Physics-Based Vision). Jones and Bartlett, 1992.]] Google ScholarDigital Library
- G. Xu, J. ichi Terai, and H.-Y. Shum. A Linea Algorithm for Camera Self-Calibration, Motion and Structure Recovery for Multi-Planar Scenes from Two Perspective Images. Proc of IEEE Conference on Computer Vision and Pattern Recognition, (II):474-479, June 2000.]]Google Scholar
- Y. Yakimovsky and R. Cunningham. A system for extracting three-dimensional measurements from a stereo pair of tv cameras. In Computer Graphics and Image Processing, volume 7, pages 1995-2010, 1978.]]Google ScholarCross Ref
- Zhang,Z.,Deriche,R.,Faugeras,O. and Luong,Q-T. A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry. Technical Report N 2273, INRIA - Institut National de Recherche Informatique et en Automatique, 1994.]]Google Scholar
Index Terms
- Low-cost model reconstruction from image sequences
Recommendations
A Simple Image Acquisition System and Its Calibration for Image-Based 3D Reconstruction
ICVIP '18: Proceedings of the 2018 2nd International Conference on Video and Image ProcessingThis paper presents a simple image acquisition system composed of multiple cameras and a turntable, through which object's multiple-view images can be acquired and calibrated automatically. The main contribution of this paper is proposing a calibration ...
Self-Calibration of Turntable Sequences from Silhouettes
This paper addresses the problem of recovering both the intrinsic and extrinsic parameters of a camera from the silhouettes of an object in a turntable sequence. Previous silhouette-based approaches have exploited correspondences induced by epipolar ...
3D object model reconstruction from image sequence based on photometric consistency in volume space
This paper presents a system that can reconstruct a photorealistic 3D object model from an image sequence captured at arbitrary viewpoints. The whole system consists of four steps: camera calibration, volumetric modeling, polygonal model formation and ...
Comments