Clustering and DCT Based Color Point Cloud Compression

In this paper, a new point cloud compression method is proposed. The 3D color point cloud is firstly mean-shift clustered into many homogeneous blocks based on the similar spatial (XYZ) information of each point. Based on the RANdom SAmple Consensus (RANSAC) algorithm, those points being clustered i...

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Veröffentlicht in:	Journal of signal processing systems 2017, Vol.86 (1), p.41-49
Hauptverfasser:	Zhang, Ximin, Wan, Wanggen, An, Xuandong
Format:	Artikel
Sprache:	eng
Schlagworte:	Circuits and Systems Clustering Color Compressing Computer Imaging Discrete cosine transform Distortion Electrical Engineering Engineering Falling Image Processing and Computer Vision Optimization Pattern Recognition Pattern Recognition and Graphics Planes Rectangles Reverse engineering Signal,Image and Speech Processing Three dimensional models Vision
Online-Zugang:	Volltext
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