Cluster-based two-branch framework for point cloud attribute compression
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-023-03146-9.pdf
Reference56 articles.
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3. Teng, C.-H., Chuo, K.-Y., Hsieh, C.-Y.: Reconstructing three dimensional models of objects using a kinect sensor. Vis. Comput. 34(11), 1507–1523 (2018)
4. Hu, L., Xiao, J., Wang, Y.: An automatic 3d registration method for rock mass point clouds based on plane detection and polygon matching. Vis. Comput. 36(4), 669–681 (2020)
5. Chang, W.-C., Wu, C.-H.: Candidate-based matching of 3-d point clouds with axially switching pose estimation. Vis. Comput. 36(3), 593–607 (2020)
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