16 citations · 24 across the 28 of their papers we have counts for
4 papers · 1 filter
Full reference point cloud quality assessment using support vector regression
Ryosuke Watanabe, Shashank N. Sridhara, Haoran Hong +4
Point clouds are a general format for representing realistic 3D objects in diverse 3D applications. Since point clouds have large data sizes, developing efficient point cloud compr…
Full-reference Point Cloud Quality Assessment Using Spectral Graph Wavelets
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez +2
Point clouds in 3D applications frequently experience quality degradation during processing, e.g., scanning and compression. Reliable point cloud quality assessment (PCQA) is impor…
Fast graph-based denoising for point cloud color information
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez +2
Point clouds are utilized in various 3D applications such as cross-reality (XR) and realistic 3D displays. In some applications, e.g., for live streaming using a 3D point cloud, re…
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…