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Fast Surface Reconstruction with Supervoxels and Sharp Features

並列摘要


This paper proposes a fast surface reconstruction method by using supervoxels. The Point Cloud Data (PCD) acquired from depth sensors is divided into small volumes, and volumes containing sharp features are extracted after filtering isolated points. Then, the clustered supervoxels are used as input to generate triangle meshes of surface maps. No prior knowledge and color data are used in this method, so that the proposed method is suitable for both indoor and outdoor unknown environments. Experiments in large and noisy PCD show that the reconstruction method is reliable and fast.

被引用紀錄


Lee, Y. C. (2014). 以部位為基礎的協同表示方式進行視覺細分類 [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2014.00485
何怡(2017)。以文本特徵提升協同過濾推薦系統之準確度〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201702004

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