We propose a robust 3D hand tracking system in various hand action environments, including hand-object interaction, which utilizes a single color image and
[HO.NR.4] Hand-Object Interaction Image Generation. NeurIPS22. [PDF] [Project] Hezhen Hu, Weilun Wang, Wengang Zhou, Houqiang Li [HO.NR.3] In-Hand 3D Object Scanning from an RGB Sequence. arXiv22. [PDF] Shreyas Hampali, Tomas Hodan, Luan Tran, Lingni Ma, Cem Keskin, Vincent...
Accurate real-time tracking of dexterous hand movements has numerous applications in human–computer interaction, the metaverse, robotics and tele-health. Capturing realistic hand movements is challenging because of the large number of articulations and degrees of freedom. Here we report accurate and dyn...
Hand gesture recognition is a popular topic in computer vision and makes human-computer interaction more flexible and convenient. The representation of hand gestures is critical for recognition. In this paper, we propose a new method to measure the simil
Hand Mesh Recovery: recovery hand mesh from monocular image. Grasp Generation: generate human-like hand mesh grasping a given object. Citation If you find OakInk dataset andoikituseful for your research, please considering cite us: @inproceedings{YangCVPR2022OakInk,author={Yang, Lixin and Li, ...
1.A computer-implemented method comprising:providing, by one or more processors, an XR user interface of an XR system, the XR user interface comprising a virtual object displayed to a user;capturing, by the one or more processors, tracking video frame data of a hand of the user;generating,...
Sends interaction commands Interacts with UI Monitors Screen Performs Image Comparisons Maestro CLI Device with Maestro APKs Instrumentation APK On-Device GRPC Server View Hierarchy in XML ADB Commands or UiAutomator Android App UI Pulls Screenshots from Device ...
<p indent="0mm">Depth-based hand pose estimation has received increasing attention in the fields of human-computer interaction and virtual reality. A comprehensive survey and analysis of depth-based hand pose estim
Egocentric Human-Object Interaction Detection with Synthetic DataSynthetic Dataset enables Multimodal Training.Data Generation Pipeline for Human-Object In... R Leonardi,F Ragusa,A Furnari,... - 《Computer Vision & Image Understanding》 被引量: 0发表: 2024年 Integrating Egocentric and Robotic Vision...
### • HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. _Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko_ ### • Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction. _Junuk Cha, Jihyeon Kim, Jae Shin Yoon, Seungryul Baek_ ### ...