Grasping 3D Objects With Virtual Hand in VR Environment
Author:
Affiliation:
1. College of Information Engineering, NorthWest A&F University, China
2. School of Information Technology, Deakin University, Australia
Funder
2021 Science and Technology Innova-tion Program of Shaanxi Academy of Forestry Science
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3574131.3574428
Reference37 articles.
1. Database guided computer animation of human grasping using forward and inverse kinematics
2. 3D Hand Shape and Pose From Images in the Wild
3. ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact
4. ContactPose: A Dataset of Grasps with Object Contact and Hand Pose
5. Weakly-Supervised 3D Hand Pose Estimation from Monocular RGB Images
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2. Effects of Object Complexity in Occlusion, Structure, and Texture on 3D Virtual Object Observation in Virtual Reality;2023 Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII);2023-12-15
3. A survey of deep learning methods and datasets for hand pose estimation from hand-object interaction images;Computers & Graphics;2023-11
4. A Mixed Reality Training System for Hand-Object Interaction in Simulated Microgravity Environments;2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2023-10-16
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