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PHOTOMETRIC SCENE RECONSTRUCTION FROM MULTIPLE CAMERA VIEWS

Generation of a three-dimensional scene representation from a series of twodimensional camera images is a classical problem of computer vision. Typically, ‘scene reconstruction’ techniques have been based on contour or features, but have been problematic in dense shape estimations. This is because accuracy is ensured only in places where features can be detected. A novel scene reconstruction technique was developed at the University of Wisconsin by Steven Seitz and Charles Dyer. The ‘Photorealistic Scene Reconstruction by Voxel Coloring’ [1] technique first starts by working in a discretized three-dimensional scene space, by partitioning the scene into a discrete number of ‘voxels’. Rather than approaching the problem as shape reconstruction, the approach follows color reconstruction. By assigning each voxel the associated color of the scene element, a realistic representation of the original scene can be constructed. Adjusting the resolution of the voxel size can then control the accuracy of the scene reconstruction.