Results 11 to 20 of about 38,538 (207)
Hand–Object Pose Estimation Based on Anchor Regression from a Single Egocentric Depth Image [PDF]
To precisely understand the interaction behaviors of humans, a computer vision system needs to accurately acquire the poses of the hand and its manipulated object. Vision-based hand–object pose estimation has become an important research topic.
Jingang Lin +3 more
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Multihead Self Attention Hand Pose Estimation [PDF]
In This paper, we propose a hand pose estimation neural networks architecture named MSAHP which can improve PCK (percentage correct keypoints) greatly by fusing self-attention module in CNN (Convolutional Neural Networks).
Zhang Zhiqin +3 more
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3D Hand Pose Estimation via Graph-Based Reasoning
Hand pose estimation from a single depth image has recently received significant attention owing to its importance in many applications requiring human-computer interaction.
Jae-Hun Song, Suk-Ju Kang
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Implicit Semantic Data Augmentation for Hand Pose Estimation
Data augmentation is a well-known technique used for improving the generalization performance of modern neural networks. After the success of several traditional random data augmentation for images (including flipping, translation, or rotation), a recent
Kyeongeun Seo +3 more
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The Hand Pose Estimation Model in Measuring Range of Motion
Objective. The COVID pandemic has challenged medical practitioners to perform clinical examinations remotely, including assessing the range of motion of the finger joints.
Josephine Mina +3 more
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Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation
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 +4 more
doaj +1 more source
Hand pose estimation based on improved NSRM network
Hand pose estimation is the basis of dynamic gesture recognition. In vision-based hand pose estimation, the performance of hand pose estimation is affected due to the high flexibility of hand joints, local similarity and severe occlusion among hand ...
Shiqiang Yang +4 more
doaj +1 more source
Egocentric hand pose estimation is significant for wearable cameras since the hand interactions are captured from an egocentric viewpoint. Several studies on hand pose estimation have recently been presented based on RGBD or RGB sensors.
Kyeongeun Seo +3 more
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Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image
Hand gesture recognition and hand pose estimation are two closely correlated tasks. In this paper, we propose a deep-learning based approach which jointly learns an intermediate level shared feature for these two tasks, so that the hand gesture ...
Chi Xu, Yunkai Jiang, Jun Zhou, Yi Liu
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In-Hand Pose Estimation Using Hand-Mounted RGB Cameras and Visuotactile Sensors
This paper proposes a method to estimate the 6D pose of an object grasped by a robot hand using RGB cameras mounted on the palm and visuotactile sensors installed at the fingertips.
Yuan Gao +5 more
doaj +1 more source

