3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model
نویسندگان
چکیده
منابع مشابه
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model
3D point cloud—a new signal representation of volumetric objects—is a discrete collection of triples marking exterior object surface locations in 3D space. Conventional imperfect acquisition processes of 3D point cloud—e.g., stereo-matching from multiple viewpoint images or depth data acquired directly from active light sensors—imply non-negligible noise in the data. In this paper, we adopt a p...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2020
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2019.2961429