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Segmentation is a critical and necessary procedure for computer vision, texture mapping and reverse engineering, which aims to digitally partition scanned point cloud or polygon mesh into subset which belongs to some kind of algebraic or NURBS surface. In this paper, a novel segmentation algorithm on triangulated boundary mesh is proposed based on boundary extraction and feature identification to...
This paper presents a novel PDE-based method for floating-point disparity estimation which produces smooth disparity fields with sharp object boundaries for surface reconstruction. In order to avoid the over-segmentation problem of image-driven structure tensor and the blurred boundary problem of field-driven tensor, we propose a new anisotropic diffusivity function controlled by image and disparity...
In this paper, we propose a new algorithm for optimizing surface texture mosaics when texturing 3D model reconstructed from multi-views of objects from real world. We start with the 3D geometry acquired by structure from motion (SFM) approach. Then, the photographic images for acquiring 3D structure are used as texture data and mapped precisely on the surface. Inspired by law of Matthew Effects, we...
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