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題 名 | A Feature-Preserving Filtering Algorithm for Point Set Surface and Surface Attributes Based on Robust Statistics |
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作 者 | 秦紅星; 楊杰; 朱跃敏; | 書刊名 | Journal of Information Science and Engineering |
卷 期 | 25:4 2009.07[民98.07] |
頁 次 | 頁1135-1146 |
分類號 | 312.1 |
關鍵詞 | Point set surface; Robust statistics; Denoising; Bilateral filtering; Weighted least square method; |
語 文 | 英文(English) |
英文摘要 | With the increasing use of three-dimensional (3D) scanning tools and corresponding growth in the number and complexity of scanned objects or models, there is an increasing need in the development of robust and efficient processing techniques for scanned raw data, also referred to as point set surface and surface attributes. We present a features-preserving filtering algorithm for point set surface and surface attributes. The proposed approach is based on robust statistics, by constructing robust prediction framework for first-order estimation of points and surface attributes. Experiments show that the proposed approach preserves the sharp features and the edges of surface attributes while smoothing point set surface and corresponding attributes. |
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