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Weighted Attribute Prediction Based on Morton Code for Point Cloud Compression
- Source :
- ICME Workshops
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- The huge amount of data contained in the point cloud restrains its applications in practice. To compress the point cloud, the spatial correlation in the point cloud is explored, where adjacent points are searched and used for prediction. In this paper, an adjacent points searching method based on the Mor-ton code to find proper adjacent points is proposed, based on which a weighted prediction is performed. The proposed method locates the adjacent points quickly and accurately using the Morton code of the point cloud coordinate. Experimental results show that the proposed method significantly reduces the computational complexity while maintaining similar performance as the state-of-the-art.
- Subjects :
- Computer science
Compression (functional analysis)
0202 electrical engineering, electronic engineering, information engineering
Point cloud
Code (cryptography)
020206 networking & telecommunications
020201 artificial intelligence & image processing
02 engineering and technology
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
- Accession number :
- edsair.doi...........a9f2ab187e17afd037bc33016e6791dc