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Recurrent 3D Hand Pose Estimation Using Cascaded Pose-Guided 3D Alignments
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 3D hand pose estimation is a challenging problem in computer vision due to the high degrees-of-freedom of hand articulated motion space and large viewpoint variation.
Yinda Zhang, Xiaoming Deng, Ping Tan
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SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation
Lecture Notes in Computer Science, 2020 3D hand pose estimation based on RGB images has been studied for a long time. Most of the studies, however, have performed frame-by-frame estimation based on independent static images.
Hyung Jin Chang, Nojun Kwak
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A CRNN module for hand pose estimation
Neurocomputing, 2019Abstract Hand pose estimation plays an important role in human–computer interaction. The traditional way is to deal with a video stream frame by frame. However, since the gesture in the video is changing continuously, the adjacent frames must be highly related to each other.
Zhongxu Hu +5 more
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Segment-Based Hand Pose Estimation
The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005The work presented here solves two major problems of hand pose recognition: (A) determining what pose is shown in a given, input picture and (B) detecting the presence of a known input pose in a given input video. It builds on the earlier work of Athitsos and Sclaroff (2003) toward solving problem A.
Christopher G. Schwarz +1 more
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A Novel Framework of Hand Localization and Hand Pose Estimation
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019In this paper, we propose a novel framework for hand localization and pose estimation from a single depth image. For hand localization, unlike most existing methods that using heuristic strategies, e.g. color segmentation, we propose Hierarchical Hand location Networks (HHLN) to estimate the hand location from coarse to fine in depth images, which is ...
Yunlong Che, Yuxiang Song, Yue Qi
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Proactive Sensing for Improving Hand Pose Estimation
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016We propose a novel sensing technique called proactive sensing. Proactive sensing continually repositions a camera-based sensor as a way to improve hand pose estimation. Our core contribution is a scheme that effectively learns how to move the sensor to improve pose estimation confidence while requiring no ground truth hand poses.
Dun-Yu Hsiao +4 more
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Hierarchical neural network for hand pose estimation
Signal Processing: Image Communication, 2020Abstract Hand pose estimation plays an important role in human–computer interaction and augmented reality. Regressing the joints coordinates is a difficult task due to the flexibility of the joint, self-occlusion and so on. In this paper, we propose a novel and simple hierarchical neural network for hand pose estimation.
Zheng Chen +4 more
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Hand pose estimation with multi-scale network
Applied Intelligence, 2017Hand pose estimation plays an important role in human-computer interaction. Because it is a problem of high-dimensional nonlinear regression, the accuracy achieved by the existing methods of hand pose estimation are still unsatisfactory. With the development of deep neural networks, more and more people have begun to adopt the method involving deep ...
Zhongxu Hu +5 more
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