Research on the Self-Similarity of Point Cloud Outline for Accurate Compression

Point cloud has been used for industrial modeling for several years. It is created for industries purpose such as point cloud reconstruction, robot recognition, etc. Because Point Cloud Data need a lot of storage space. Especially in the application of large-scale scene reconstruction and cultural r...

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Vydané v:	2015 International Conference on Smart and Sustainable City and Big Data (ICSSC) s. 5
Hlavní autori:	An, Xuandong, Yu, Xiaoging, Zhang, Yifan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Stevenage, UK IET 2015 The Institution of Engineering & Technology
Predmet:	Algorithms Bandwidths Clustering Computer vision and image processing techniques Data compression Data transmission Image and video coding Image recognition Image reconstruction Image segmentation Lasers Rapid prototyping Reconstruction Redundancy Rendering Reverse engineering Scale (ratio) Scanning Segmentation Self-similarity Similarity Three dimensional models data compression point cloud outline self-similarity industrial modeling coding methods RoPS algorithm point cloud data compression feature extraction image segmentation storage space point cloud data transmission cultural relics preservation point cloud area segmentation large-scale scanning point cloud model image coding large-scale scene reconstruction Qsplat method
ISBN:	9781785610325, 1785610325
On-line prístup:	Získať plný text
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