Zobrazeno 1 - 10
of 146
pro vyhledávání: '"3d hand pose estimation"'
Autor:
Van Hung Le
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 10, Iss 2, Pp 265-279 (2024)
3D hand pose estimation (3D-HPE) is one of the tasks performed on data obtained from egocentric vision camera (EVC) such as hand detection, segmentation, and gesture recognition applied in fields such as HCI, HRI, VR, AR, Healthcare, supporting for t
Externí odkaz:
https://doaj.org/article/aed0fbaf2c264dd29212f2c54b68976e
Autor:
Xiangan Wan, Jianping Ju, Jianying Tang, Mingyu Lin, Ning Rao, Deng Chen, Tingting Liu, Jing Li, Fan Bian, Nicholas Xiong
Publikováno v:
Sensors, Vol 24, Iss 21, p 7029 (2024)
The objective of 3D hand pose estimation (HPE) based on depth images is to accurately locate and predict keypoints of the hand. However, this task remains challenging because of the variations in hand appearance from different viewpoints and severe o
Externí odkaz:
https://doaj.org/article/a4342f2d4979419b8ce607710994294c
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
In Human-Robot Interaction (HRI), accurate 3D hand pose and mesh estimation hold critical importance. However, inferring reasonable and accurate poses in severe self-occlusion and high self-similarity remains an inherent challenge. In order to allevi
Externí odkaz:
https://doaj.org/article/c0f727cd86ee4795b1d4323f5389736e
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Akademický článek
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Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 3, Iss 3, Pp 207-234 (2021)
The field of vision-based human hand three-dimensional (3D) shape and pose estimation has attracted significant attention recently owing to its key role in various applications, such as natural humancomputer interactions. With the availability of lar
Externí odkaz:
https://doaj.org/article/1f9cace2c44a4108a179d1ea5b8df247
Autor:
Jae-Hun Song, Suk-Ju Kang
Publikováno v:
IEEE Access, Vol 9, Pp 35824-35833 (2021)
Hand pose estimation from a single depth image has recently received significant attention owing to its importance in many applications requiring human-computer interaction. The rapid progress of convolutional neural networks (CNNs) and technological
Externí odkaz:
https://doaj.org/article/963b1c2518884fc28461fa07d5ada81f
Publikováno v:
IEEE Access, Vol 8, Pp 114010-114019 (2020)
3D hand pose estimation from a single depth image plays an important role in computer vision and human-computer interaction. Although recent hand pose estimation methods using convolution neural network (CNN) have shown notable improvements in accura
Externí odkaz:
https://doaj.org/article/f62bf3f3d35344c7ae0055750a4f3490
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
Hand pose estimation in 3D from depth images is a highly complex task. Current state-of-the-art 3D hand pose estimators focus only on the accuracy of the model as measured by how closely it matches the ground truth hand pose but overlook the resultin
Externí odkaz:
https://doaj.org/article/4314ff4562a54f1aa27a265dbda5878a