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Home | Research | Research Programs | Computational Video | Surface Reconstruction from Multiple Images

Computational Video

Surface Reconstruction from Multiple Images


Images representing the Surface Reconstruction from Multiple Images project
Images representing the Surface Reconstruction from Multiple Images project - Click for full view

Surface reconstruction is concerned with the problem of creating geometric models from multiple images. Such models are important in a wide variety of applications, including virtual/augmented reality, reverse engineering and animation.

However, when light rays from 3D objects project onto 2D planes to form images, a great deal of information is lost, which leads to ill-posed mathematical problems. In general, solutions that are unique and stable can only be guaranteed with additional constraints. Previous solutions to this problem have relied on strong assumptions made about the underlying surface, such as the planar or quadric surface.

In this project, researchers instead make minimal assumptions and seek more general solutions by exploiting the intrinsic geometric constraints within the multi-view images.

Using projective vision techniques, researchers compute camera parameters and positions from uncalibrated image sequences. By assuming the local smoothness of the underlying surfaces, they construct compact representations - such as B-splines - from very few feature points.

Researchers study robust statistical and numerical methods involved in the process of reconstruction. They also develop statistical models for various estimation problems in order to evaluate the accuracy and reliability of the reconstructed surfaces.

Ultimately, researchers expect to develop efficient algorithms for surface reconstruction with minimal user assists.

Research Contact

Dr. Chang Shu
Research Officer
Visual Information Technology

NRC Institute for Information Technology
1200 Montreal Road
Building M-50, Room 344
Ottawa, ON K1A 0R6
Telephone: +1 (613) 993-7892
Fax: +1 (613) 952-0215
E-mail: Chang.Shu@nrc-cnrc.gc.ca

Business Contact

Dr. George Forester
Business Development Officer
Business Development Office, NCR

NRC Institute for Information Technology
1200 Montreal Road
Building M-50, Room 203
Ottawa, ON K1A 0R6
Telephone: +1 (613) 993-3478
Fax: +1 (613) 952-0074
E-mail: George.Forester@nrc-cnrc.gc.ca


Date Published: 2002-12-31
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