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Range data acquired by affordable IR depth sensors are significantly noisy and lack shape detail, making it difficult to obtain high-quality scans using depth cameras. Most methods to enhance noisy data do not preserve the original structure of the measured scene during data refinement, particularly at sharp edges and object boundaries. We present a novel approach to enhance the range data in a structure-aware...
In this paper, we propose a simple and effective feature-aware filtering for point-set surface denoising, which can achieve a second-order surface approximation of the underlying surface. Our method consists of two stages: robust normal estimation considering sharp features and feature-preserving denoising using a local curvature based projection. The normal clustering based on neighborhood grouping...
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