A local-frame based method for vector field construction on raw point cloud

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Abstract

Direction fields are an essential ingredient in controlling surface appearance for applications ranging from anisotropic shading to texture synthesis and non-photorealistic rendering. Applying local principal covariance analysis, we present a simplistic way for constructing local frames used for vector field generation on point-sampled models. Different kinds of vector fields can be achieved by assigning different planar vectors to the local coordinates. Unlike previous methods, in the proposed algorithm, there is no need of user constraints or any extra smoothing and relaxation process. Experimental results in the isotropic remeshing and texture synthesis are used to demonstrate its performance. © 2010 Springer-Verlag.

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Pang, X., Song, Z., & Chen, X. (2010). A local-frame based method for vector field construction on raw point cloud. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6453 LNCS, pp. 612–621). https://doi.org/10.1007/978-3-642-17289-2_59

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