Computational geometry: an introduction
Computational geometry: an introduction
Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Computing distance transformations in convex and non-convex domains
Pattern Recognition
Analyzing nonconvex 2D and 3D patterns
Computer Vision and Image Understanding
On digital distance transforms in three dimensions
Computer Vision and Image Understanding
Computer Vision and Image Understanding
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In several application projects we have discovered the need of computing the maximal inscribed convex set of a digital shape. Here we present an algorithm for computing a reasonable approximation of this set, that can be used in both 2D and 3D. The main idea is to iteratively identify the deepest concavity and then remove it by cutting off as little as possible of the shape. We show results using both synthetic and real examples.