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Compression of Surface Meshes
Abstract
The modelling of three-dimensional (3D) objects with triangular meshes represents a major interest for medical imagery. Indeed, visualization and handling of 3D representations of biological objects (like organs for instance) are very helpful for clinical diagnosis, telemedicine applications, or clinical research in general. Today, the increasing resolution of imaging equipments leads to densely sampled triangular meshes, but the resulting data are consequently huge. In this chapter, we present one specific lossy compression algorithm for such meshes that could be used in medical imagery. According to several state-of-the-art techniques, this scheme is based on wavelet filtering, and an original bit allocation process that optimizes the quantization of the data. This allocation process is the core of the algorithm, because it allows the users to always get the optimal trade-off between the quality of the compressed mesh and the compression ratio, whatever the user-given bitrate. By the end of the chapter, experimental results are discussed and compared with other approaches.
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