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Multiresolution Analysis of Irregular Meshes with Appearance Attributes

Multiresolution Analysis of Irregular Meshes with Appearance Attributes. Micha ë l Roy. Objectives. Theoretical Level-of-detail decomposition Frequency content extraction Attribute management Practical View / performance dependent visualization Filtering / denoising

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Multiresolution Analysis of Irregular Meshes with Appearance Attributes

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  1. Multiresolution Analysis of Irregular Mesheswith Appearance Attributes Michaël Roy

  2. Objectives • Theoretical • Level-of-detail decomposition • Frequency content extraction • Attribute management • Practical • View / performance dependent visualization • Filtering / denoising • Segmentation / feature detection • Comparison

  3. Work done • Complete understanding of Guskov decomposition • New decomposition proposed • Easier to implement • Faster • Less memory consuming • More efficient (disjoint frequency bands) • Attribute analysis • Denoising using Wiener filtering

  4. Work to do • Denoising using soft thresholding (isotropic) • Denoising using anisotropic filtering • Feature detection such as sharp edges • Fast mesh comparison (missing parts) • View-dependent visualization • Texture analysis • Technical report • SPIE conference paper • Journal paper

  5. Level 31 Level 25 Level 20 Level 15 Level 10 Results: LOD Decomposition

  6. Initial model Geometric analysis Color analysis Results: Attribute Analysis

  7. Initial model Our method Results: Denoising using Wiener Filtering

  8. Results: Denoising using Soft Thresholding Initial model Noisy model Filtered model

  9. Results: Sharp Edge Detection Clean model Noisy model

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