193 citations · 298 across the 15 of their papers we have counts for
6 papers · 1 filter
GeodesicPSIM: Predicting the Quality of Static Mesh with Texture Map via Geodesic Patch Similarity
Qi Yang, Joel Jung, Xiaozhong Xu +1
Static meshes with texture maps have attracted considerable attention in both industrial manufacturing and academic research, leading to an urgent requirement for effective and rob…
Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description
Yipeng Liu, Qi Yang, Yujie Zhang +4
The visual quality of point clouds plays a crucial role in the development and broadcasting of immersive media. Therefore, investigating point cloud quality assessment (PCQA) is in…
A Tiny Machine Learning Model for Point Cloud Object Classification
Min Zhang, Jintang Xue, Pranav Kadam +3
The design of a tiny machine learning model, which can be deployed in mobile and edge devices, for point cloud object classification is investigated in this work. To achieve this o…
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds
Pranav Kadam, Jiahao Gu, Shan Liu +1
An efficient 3D scene flow estimation method called PointFlowHop is proposed in this work. PointFlowHop takes two consecutive point clouds and determines the 3D flow vectors for ev…
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
Pranav Kadam, Hardik Prajapati, Min Zhang +3
Many point cloud classification methods are developed under the assumption that all point clouds in the dataset are well aligned with the canonical axes so that the 3D Cartesian po…
gpcgc: a green point cloud geometry coding method
Qingyang Zhou, Shan Liu, C. -C. Jay Kuo
A low-complexity point cloud compression method called the Green Point Cloud Geometry Codec (GPCGC), is proposed to encode the 3D spatial coordinates of static point clouds efficie…