Learnable skeleton-aware 3d point cloud sampling
Point cloud sampling is crucial for efficient large-scale point cloud analysis, where learning-
to-sample methods have recently received increasing attention from the community for …
to-sample methods have recently received increasing attention from the community for …
Learnable Chamfer Distance for point cloud reconstruction
As point clouds are 3D signals with permutation invariance, most existing works train their
reconstruction networks by measuring shape differences with the average point-to-point …
reconstruction networks by measuring shape differences with the average point-to-point …
Image Sampling Based on Dominant Color Component for Computer Vision
S Wang, J Cui, F Li, L Wang - Electronics, 2023 - mdpi.com
Image sampling is a fundamental technique for image compression, which greatly improves
the efficiency of image storage, transmission, and applications. However, existing sampling …
the efficiency of image storage, transmission, and applications. However, existing sampling …
[PDF][PDF] Image Sampling Based on Dominant Color Component for Computer Vision. Electronics 2023, 12, 3360
S Wang, J Cui, F Li, L Wang - 2023 - pdfs.semanticscholar.org
Image sampling is a fundamental technique for image compression, which greatly improves
the efficiency of image storage, transmission, and applications. However, existing sampling …
the efficiency of image storage, transmission, and applications. However, existing sampling …