This is software for denoising meshes using the technique described in our paper “Fast and Effective Feature-Preserving Mesh Denoising”. mdenoise-1.1.tar – Mesh Denoising Version 1.1. If you use this code please cite one of these publications:

Mesh Denoising Algorithm





Artificial intelligence is concerned with the design and analysis of autonomous systems. These are software systems and/or physical machines, with sensors and actuators, embodied for example within a robot, an autonomous spacecraft or a computer controlled game character. An intelligent system has to perceive its environment, to act rationally towards […]

Artificial Intelligence






denoise
Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise Analysis and Synthesis for 3D Laser Depth Scanners. Graphical Models [Special issue on IEEE International Conference on Shape Modeling and Applications 2008 – SMI 08], 71(2):34-48, 2009. [DOI:10.1016/j.gmod.2008.12.002] [PDF]

Noise Analysis and Synthesis for 3D Laser Depth Scanners



Computer graphics is the art and science of representing and manipulating information using images generated through computation. This involves the study of (i) models suitable for manipulating and viewing shapes, (ii) real-time and realistic rendering techniques for these models, and (iii) devices for viewing and interacting with the models. This […]

Graphics


2009-2013: RIVIC: One Wales Research Institute for Visual Computing. WAG (HEFCW) via Bangor University. Consortium: R. R. Martin, N. J. Avis, A. D. Marshall, P. L. Rosin, F. C. Langbein at Cardiff University, with Bangor University (lead), Aberystwyth University, Swansea University. £998,011.

RIVIC: One Wales Research Institute for Visual Computing


sun2008
Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Random Walks for Feature-Preserving Mesh Denoising. Computer-Aided Geometric Design [Solid and Physical Modeling – Selected papers from the Solid and Physical Modeling and Applications Symposium 2007 (SPM 2007)], 25(7):437-456, 2008. [DOI:10.1016/j.cagd.2007.12.008] [PDF]

Random Walks for Feature-Preserving Mesh Denoising