Results 11 to 20 of about 6,005,844 (276)

Estimation of 3D human hand poses with structured pose prior [PDF]

IET Computer Vision, 2019
Here, the authors present multistage estimation model embedding with structured pose prior (SPP), a novel coarse‐to‐fine framework for real‐time 3D hand estimation from single depth image. Authors’ main contributions can be summarised as follows: (i) The
Fangtai Guo, Zaixing He, Shuyou Zhang, Xinyue Zhao   +3 more
doaj   +3 more sources

3D Hand Pose Estimation with Neural Networks [PDF]

, 2013
We propose the design of a real-time system to recognize and interprethand gestures. The acquisition devices are low cost 3D sensors. 3D hand pose will be segmented, characterized and track using growing neural gas (GNG) structure.The capacity of the system to obtain information with a high degree of freedom allows the encoding of many gestures and a ...
Jose Antonio Serra, José García Rodríguez 0001, Sergio Orts-Escolano, Juan Manuel García Chamizo, Anastassia Angelopoulou, Alexandra Psarrou, Markos Mentzelopoulos, Javier Montoyo-Bojo, Enrique Domínguez   +8 more
core   +4 more sources

Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation [PDF]

IEEE Access, 2020
Most of the existing methods for 3D hand pose estimation are performed from a single depth map. In that case, the depth missing challenges from input frames caused by hand self-occlusions and imaging quality lead to multi-valued mapping phenomenon and ...
Fangtai Guo, Zaixing He, Shuyou Zhang, Xinyue Zhao, Jianrong Tan   +4 more
doaj   +2 more sources

3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal [PDF]

, 2022
Estimating 3D interacting hand pose from a single RGB image is essential for understanding human actions. Unlike most previous works that directly predict the 3D poses of two interacting hands simultaneously, we propose to decompose the challenging interacting hand pose estimation task and estimate the pose of each hand separately.
Hao Meng, Sheng Jin 0007, Wentao Liu 0002, Chen Qian 0006, Mengxiang Lin, Wanli Ouyang, Ping Luo 0002   +6 more
core   +6 more sources

Efficient Virtual View Selection for 3D Hand Pose Estimation

Proceedings of the AAAI Conference on Artificial Intelligence, 2022
3D hand pose estimation from single depth is a fundamental problem in computer vision, and has wide applications. However, the existing methods still can not achieve satisfactory hand pose estimation results due to view variation and occlusion of human hand.
Jian Cheng 0006, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan 0002, Hongan Wang, Xiaoming Deng 0001, Yinda Zhang 0001   +8 more
core   +5 more sources

Denoising Diffusion for 3D Hand Pose Estimation from Images

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023
Hand pose estimation from a single image has many applications. However, approaches to full 3D body pose estimation are typically trained on day-to-day activities or actions. As such, detailed hand-to-hand interactions are poorly represented, especially during motion. We see this in the failure cases of techniques such as OpenPose or MediaPipe. However,
Maksym Ivashechkin, Oscar Mendez 0001, Richard Bowden   +2 more
openaire   +5 more sources

A Normalization Strategy for Weakly Supervised 3D Hand Pose Estimation

Applied Sciences
The effectiveness of deep neural network models is intricately tied to the distribution of training data. However, in pose estimation, potential discrepancies in root joint positions and inherent variability in biomechanical features across datasets are ...
Zizhao Guo, Jinkai Li, Jiyong Tan
doaj   +2 more sources

Posing 3D Models from Drawing [PDF]

, 2015
Inferring the 3D pose of a character from a drawing is a complex and under-constrained problem. Solving it may help automate various parts of an animation production pipeline such as pre-visualisation.
Xiao, Zhidong, Marsden, N., Gouvatsos, Alexandros, Zhang, Jian J.   +3 more
core   +7 more sources

Active Learning for Bayesian 3D Hand Pose Estimation [PDF]

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Accepted at WACV ...
Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim 0001   +2 more
openaire   +3 more sources

3D Hand Pose Estimation on Conventional Capacitive Touchscreens [PDF]

Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction, 2021
Contemporary mobile devices with touchscreens capture the X/Y position of finger tips on the screen and pass these coordinates to applications as though the input were points in space. Of course, human hands are much more sophisticated, able to form rich 3D poses capable of far more complex interactions than poking at a screen.
Frederick Choi, Sven Mayer, Chris Harrison 0001   +2 more
openaire   +2 more sources