Results 51 to 60 of about 4,537,022 (282)
Embedding Gesture Prior to Joint Shape Optimization Based Real-Time 3D Hand Tracking
IEEE Access, 2020 In this paper, we present a novel approach for 3D hand tracking in real-time from a set of depth images. In each frame, our approach initializes hand pose with learning and then jointly optimizes the hand pose and shape.
Yunlong Che, Yue Qi
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Multiscale feature fusion network for monocular complex hand pose estimation
Electronics Letters, 2023 Hand pose estimation based on a single RGB image has low accuracy due to the complexity of the pose, local self‐similarity of finger features, and occlusion.
Zhi Zhan, Guang Luo
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Hand Pose Estimation Using Hierarchical Detection
, 2004 This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tree in order to recognize multiple object classes. We are interested in the problem of recognizing multiple patterns as it is closely related to the problem of locating an ...
Stenger, B +3 more
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Artificial molecular machines and motors—Design and control of nanoscale motion
FEBS Letters, EarlyView.Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
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FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
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Coarse-to-Fine Hand–Object Pose Estimation with Interaction-Aware Graph Convolutional Network
Sensors, 2021 The analysis of hand–object poses from RGB images is important for understanding and imitating human behavior and acts as a key factor in various applications.
Maomao Zhang +3 more
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Dense 3D Regression for Hand Pose Estimation
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We present a simple and effective method for 3D hand pose estimation from a single depth frame. As opposed to previous state-of-the-art methods based on holistic 3D regression, our method works on dense pixel-wise estimation. This is achieved by careful design choices in pose parameterization, which leverages both 2D and 3D properties of depth map ...
Chengde Wan +3 more
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A Comparison of Directional Distances for Hand Pose Estimation [PDF]
, 2013 Benchmarking methods for 3d hand tracking is still an open problem due to the difficulty of acquiring ground truth data. We introduce a new dataset and benchmarking protocol that is insensitive to the accumulative error of other protocols. To this end, we create testing frame pairs of increasing difficulty and measure the pose estimation error ...
Tzionas, D., Gall, J.
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Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells
FEBS Open Bio, EarlyView.Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley +1 more source
Video-based quantification of human movement frequency using pose estimation: A pilot study.
PLoS ONE, 2021 Assessment of repetitive movements (e.g., finger tapping) is a hallmark of motor examinations in several neurologic populations. These assessments are traditionally performed by a human rater via visual inspection; however, advances in computer vision ...
Hannah L Cornman +2 more
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