On the polyhedral complexity of the integer points in a hyperball
Theoretical Computer Science
Minimum decomposition of a digital surface into digital plane segments is NP-hard
Discrete Applied Mathematics
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Pattern Recognition
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Discrete Applied Mathematics
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IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Segmentation of noisy discrete surfaces
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Efficient robust digital hyperplane fitting with bounded error
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
Polyhedrization of discrete convex volumes
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Minimal decomposition of a digital surface into digital plane segments is NP-Hard
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Computational aspects of digital plane and hyperplane recognition
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
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This paper deals with the polyhedrization of discrete volumes. The aim is to do a reversible transformation from a discrete volume to a Euclidean polyhedron, i.e. such that the discretization of the Euclidean volume is exactly the initial discrete volume. We propose a new polynomial algorithm to split the surface of any discrete volume into pieces of naive discrete planes with well-defined shape properties, and present a study of the time complexity as well as a study of the influence of the voxel tracking order during the execution of this algorithm.