1 citations · 1 across the 7 of their papers we have counts for
5 papers · 1 filter
SCP: Spherical-Coordinate-based Learned Point Cloud Compression
Ao Luo, Linxin Song, Keisuke Nonaka +4
In recent years, the task of learned point cloud compression has gained prominence. An important type of point cloud, the spinning LiDAR point cloud, is generated by spinning LiDAR…
Motion estimation and filtered prediction for dynamic point cloud attribute compression
Haoran Hong, Eduardo Pavez, Antonio Ortega +2
In point cloud compression, exploiting temporal redundancy for inter predictive coding is challenging because of the irregular geometry. This paper proposes an efficient block-base…
A Fast Free-viewpoint Video Synthesis Algorithm for Sports Scenes
Jun Chen, Ryosuke Watanabe, Keisuke Nonaka +3
In this paper, we report on a parallel freeviewpoint video synthesis algorithm that can efficiently reconstruct a high-quality 3D scene representation of sports scenes. The propose…
Efficient Parallel Connected Components Labeling with a Coarse-to-fine Strategy
Jun Chen, Keisuke Nonaka, Ryosuke Watanabe +3
This paper proposes a new parallel approach to solve connected components on a 2D binary image implemented with CUDA. We employ the following strategies to accelerate neighborhood…
An Optimized Union-Find Algorithm for Connected Components Labeling Using GPUs
Jun Chen, Qiang Yao, Houari Sabirin +3
In this paper, we report an optimized union-find (UF) algorithm that can label the connected components on a 2D image efficiently by employing the GPU architecture. The proposed me…