Mesh Filtering

There are many areas of scientific data processing in which the data is non-uniformly distributed. Beyond resampling the data to a regular grid there are currently few techniques for processing such data. This project aims to develop a general framework for processing irregular mesh data that copes with problems such as points having different numbers of neighbours, at varying distances, and non-uniform sampling. In addition, uncertainties in the data should be propagated through the processing pipeline. Methods developed by the project will enable scattered data to be analysed and edited directly, without requiring resampling on a regular grid, with the potential for more efficient and accurate processing of scattered data in many application areas. Using the above framework the project will develop algorithms for low-level operations (namely noise filtering and binary operations) that are an essential pre-processing step to higher-level mesh processing. As well as algorithms being developed for specific low-level operations, the project has wider applicability since the general approaches developed will potentially be of use in transferring other image processing operations to mesh processing.

Project web site

      Publications

      • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Bas-Relief Generation Using Adaptive Histogram Equalisation. IEEE Trans. Visualization and Computer Graphics, 15(4):642-653,2009.

        [Details]

      • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise Analysis and Synthesis for 3D Laser Depth Scanners. Graphical Models

        [Details]

      • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Random Walks for Feature-Preserving Mesh Denoising. Computer-Aided Geometric Design

        [Details]

      • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise in 3D Laser Range Scanner Data. In: Proc. IEEE Conf. Shape Modelling and Applications, IEEE Computer Society, p. 37-45, 2008.

        [Details]

      • X.-F. Sun, P. L. Rosin, R. R. Martin, F. C. Langbein. Fast and Effective Feature-Preserving Mesh Denoising. IEEE Trans. Visualization and Computer Graphics, 13(5):925-938, 2007.

        [Details]

      • X.-F. Sun, P. L. Rosin, R. R. Martin, F. C. Langbein. Random Walks for Mesh Denoising. In: Proc. ACM Symp. Solid and Physical Modeling, pp. 11-22, ACM Siggraph 2007.

        [Details]

      Presentations

      • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise in 3D Laser Range Scanner Data. IEEE Conf. Shape Modelling and Applications, 4-6 June 2008.

        [Details]

      Codes

          Partners

          • Neil C Mitchell
            School of Earth, Atmospheric and Environmental Sciences, University of Manchester, UK.

          • Xianfang Sun
            School of Computer Science and Informatics, Cardiff Univesity, UK.

          • Paul Rosin
            School of Computer Science and Informatics, Cardiff University, UK.

          • A Dave Marshall
            School of Computer Science and Informatics, Cardiff University, UK.

          • Ralph R Martin
            School of Computer Science and Informatics, Cardiff University, Cardiff, UK.

          • Frank C Langbein
            School of Computer Science, Cardiff University, Cardiff, UK.

          Funding

          • December 2005 – December 2009: Filtering and Processing of Irregular Meshes with Uncertainties. EPSRC EP/C007972/1. PI: P. L. Rosin, CoI: N. C. Mitchell, F. C. Langbein, A. D. Marshall, R. R. Martin. £260,742.

            [Details]