Photorealistic Scene Reconstruction by Voxel Coloring |
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Authors: | Seitz Steven M. Dyer Charles R. |
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Affiliation: | (1) The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213;(2) Department of Computer Sciences, University of Wisconsin, Madison, WI, 53706 |
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Abstract: | A novel scene reconstruction technique is presented, different from previous approaches in its ability to cope with large changes in visibility and its modeling of intrinsic scene color and texture information. The method avoids image correspondence problems by working in a discretized scene space whose voxels are traversed in a fixed visibility ordering. This strategy takes full account of occlusions and allows the input cameras to be far apart and widely distributed about the environment. The algorithm identifies a special set of invariant voxels which together form a spatial and photometric reconstruction of the scene, fully consistent with the input images. The approach is evaluated with images from both inward-facing and outward-facing cameras. |
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Keywords: | scene reconstruction multi-baseline stereo invariants voxel representations image correspondence occlusion photorealism |
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