3D Surface Reconstruction From 2D Binary Images

D. Raviv; Y. H. Pao; K. Loparo

doi:10.1117/12.968243

1 January 1987 3D Surface Reconstruction From 2D Binary Images

D. Raviv, Y. H. Pao, K. Loparo

Proceedings Volume 0852, Mobile Robots II; (1987) https://doi.org/10.1117/12.968243
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

We introduce methods for reconstruction of three dimensional surfaces. They are based on moving the light source relative to an object whose shape is to be determined. Using a camera which is placed above the object and a moving light source, the shadows cast by the object at each angle are recorded and analyzed. In one method, the light source is rotated in a horizontal plane; this method is a simple way to get segmentation between different surfaces. The second method uses a light source which is rotated in a vertical plane. For each section of the object a shadow diagram (Shadowgram) is formed and analyzed to get the third dimension. The Shadowgram has some features which make the reconstruction very simple. By looking at some curves of the Shadowgram, invisible surfaces can be partially reconstructed. The above methods can be combined to achieve simple solutions for problems in the robotics area e.g., the bin-picking problem. A set of experimental results demonstrates the robustness and usefulness of the methods.

Citation Download Citation

D. Raviv, Y. H. Pao, and K. Loparo "3D Surface Reconstruction From 2D Binary Images", Proc. SPIE 0852, Mobile Robots II, (1 January 1987); https://doi.org/10.1117/12.968243

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