STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
Reconstruction of polygons from projections
Information Processing Letters
Reconstructing Convex Sets from Support Line Measurements
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reconstructing a convex polygon from binary perspective projections
Pattern Recognition
Probing Convex polygons with half-planes
Journal of Algorithms
How Far 3D Shapes Can Be Understood from 2D Silhouettes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of spatial points and lines by random sampling and voting procedure
Pattern Recognition Letters
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Reconstruction from an Image Sequence
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
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Shape from silhouettes is a binary geometric tomography since both objects and projections, which are measured as silhouettes, are binary. In this paper, we formulate shape from silhouettes in the three-dimensional discrete space. This treatment of the problem implies an ambiguity theorem for the reconstruction of objects in discrete space. Furthermore, we show that in three-dimensional space, it is possible to reconstruct a class of non-convex objects from a collection of silhouettes though on a plane non-convex object is unreconstractable from any collection of silhouettes.