| Abstract |
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We propose a fast 3D model acquisition system that aligns intensity and depth images, and reconstructs a texture 3D mesh. 3D views are registered with shape alignment based on intensity gradient constraints and a global registration algorithm. We reconstruct the 3D model using a new Cubic Ray Projection merging algorithm which takes advantage of a novel data structure: the linked voxel space. Finally, we present experiments to test the accuracy of our
approach on 3D face modeling using real-time stereo images.
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 Additional Information
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Citation:
Louis-Philippe Morency, Ali Rahimi, Trevor Darrell,
"Fast 3D Model Acquisition from Stereo Images,"
3dpvt,
p. 172,
First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02),
2002
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