M.E.S.H. : Measuring Error between Surfaces using the Hausdorff distance. This paper proposes an efficient method to estimate the distance between discrete 3D surfaces represented by triangular 3D meshes. The metric used is based on an approximation of the Hausdorff distance, which has been appropriately implemented in order to reduce unnecessary computation and memory usage. Results show that when compared to similar tools, a significant gain in both memory and speed can be achieved.

References in zbMATH (referenced in 17 articles )

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  4. Sharma, Ojaswa; Anton, François: Homotopic object reconstruction using natural neighbor barycentric coordinates (2011)
  5. Wang, Yu-Ping; Hu, Shi-Min: Optimization approach for 3D model watermarking by linear binary programming (2010)
  6. Bian, Zhe; Hu, Shi-Min; Martin, Ralph R.: Evaluation for small visual difference between conforming meshes on strain field (2009) ioport
  7. Nicosevici, Tudor; Gracias, Nuno; Negahdaripour, Shahriar; Garcia, Rafael: Efficient three-dimensional scene modeling and mosaicing (2009)
  8. Peyré, Gabriel; Péchaud, Mickael; Keriven, Renaud; Cohen, Laurent D.: Geodesic methods in computer vision and graphics (2009)
  9. Lu, Zhe-Ming; Li, Zhen: Dynamically restricted codebook-based vector quantisation scheme for mesh geometry compression (2008)
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  15. Payan, Frédéric; Antonini, Marc: An efficient bit allocation for compressing normal meshes with an error-driven quantization (2005)
  16. Aspert, Nicolas; Ebrahimi, Touradj; Vandergheynst, Pierre: Nonlinear subdivision using local spherical coordinates (2003)
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