This paper provides a novel method called PointCNN-Hand for 3D hand joints estimation based on PointCNN.
In order to use the information of depth image effectively, we transform the depth image into point cloud before feeding into the proposed PointCNN-Hand, which ...
This paper provides a novel method called "PointCNN-Hand"for 3D hand joints estimation based on PointCNN. To use the depth image effectively, ...
Hand Joints. Conference Paper. PointCNN-Hand: 3D Hand Joints Estimate by PointCNN From Hand Point Cloud. August 2021. DOI:10.1109/ICSSE52999.2021.9538459.
Dive into the research topics of 'PointCNN-Hand: 3D hand joints estimate by PointCNN from hand point cloud'. Together they form a unique fingerprint. Sort by ...
In this paper, we present a novel approach that directly takes point cloud as network input to regress 3D hand joint locations. To handle variations of hand ...
estimate 3D hand joint locations directly from 3D point cloud;; normalize the sampled 3D points in an oriented bounding box without applying any additional ...
Missing: PointCNN- PointCNN
This method aims at generating point-wise estimations of hand joint locations from the point cloud, which is able to better utilize the local evidence and ...
Missing: PointCNN- PointCNN
Apr 4, 2024 · This paper proposes HandDiff, a diffusion-based hand pose estimation model that iteratively denoises accurate hand pose conditioned on hand-shaped image-point ...
Missing: PointCNN- PointCNN
