Computation of the Normal Vector to a Digital Plane by Sampling Significant Points

DOI10.1007/978-3-319-32360-2_15zbMath1423.68549OpenAlexW2469348811MaRDI QIDQ5739396

Tristan Roussillon, Xavier Provençal, Jacques-Olivier Lachaud

Publication date: 15 July 2016

Published in: Discrete Geometry for Computer Imagery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-32360-2_15

zbMATH Keywords

recognitiondigital geometrydigital planelattice reductionnormal vector estimation

Mathematics Subject Classification ID

Lattices and convex bodies in (n) dimensions (aspects of discrete geometry) (52C07) Computational aspects related to convexity (52B55) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Lattice points in specified regions (11P21)

Related Items (5)

Two plane-probing algorithms for the computation of the normal vector to a digital plane ⋮ A new lattice-based plane-probing algorithm ⋮ An optimized framework for plane-probing algorithms ⋮ An alternative definition for digital convexity ⋮ Digital Plane Recognition with Fewer Probes

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