VVS '00 Proceedings of the 2000 IEEE symposium on Volume visualization
Automatic 3D Model Construction for Turn-Table Sequences
SMILE'98 Proceedings of the European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
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
A hybrid hardware-accelerated algorithm for high quality rendering of visual hulls
GI '04 Proceedings of the 2004 Graphics Interface Conference
A system for active image-based rendering
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
International Journal of Computer Vision
A semi-supervised approach to space carving
Pattern Recognition
3D volumetric reconstruction and characterization of objects from uncalibrated images
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment
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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, called Space Carving, for computing this shape and present experimental results from applying it to the reconstruction of geometrically-complex scenes 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.