Eigen-Texture Method: Appearance Compression and Synthesis Based on a 3D Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Geometry and Texture from Thousands of Images
SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Appearance-Cloning: Photo-Consistent Scene Recovery from Multi-View Images
International Journal of Computer Vision
A survey of methods for volumetric scene reconstruction from photographs
VG'01 Proceedings of the 2001 Eurographics conference on Volume Graphics
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In this paper we consider the problem of computing the 3D shape of an unknown, arbitrarily-shaped scene from multiple color photographs taken at known but arbitrarily-distributed viewpoints. By studying the equivalence class of all 3D shapes that reproduce the input photographs, we prove the existence of a special member of this class, the maximal photo-consistent shape, that (1) can be computed from an arbitrary volume that contains the scene, and (2) subsumes all other members of this class. We then give a provably-correct algorithm for computing this shape and present experimental results from applying it to the reconstruction of a real 3D scene from several photographs. The approach is specifically designed to (1) build 3D shapes that allow faithful reproduction of all input photographs, (2) resolve the complex interactions between occlusion, parallax, shading, and their effects on arbitrary collections of photographs of a scene, and (3) follow a "least commitment" approach to 3D shape recovery.