Results 21 to 30 of about 556,231 (187)
Unstable Landing Platform Pose Estimation Based on Camera and Range Sensor Homogeneous Fusion (CRHF)
Drones, 2022 Much research has been accomplished in the area of drone landing and specifically pose estimation. While some of these works focus on sensor fusion using GPS, or GNSS, we propose a method that uses sensors, including four Time of Flight (ToF) range ...
Mohammad Sefidgar, Rene Landry
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Ego-Body Pose Estimation via Ego-Head Pose Estimation
AI Matters, 2023 Estimating 3D human motion from an ego-centric video, which records the environment viewed from the first-person perspective with a front-facing monocular camera, is critical to applications in VR/AR. However, naively learning a mapping between egocentric videos and full-body human motions is challenging for two reasons.
Jiaman Li, C. Karen Liu, Jiajun Wu 0001
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On the Calibration of Human Pose Estimation
CoRR, 2023 Most 2D human pose estimation frameworks estimate keypoint confidence in an ad-hoc manner, using heuristics such as the maximum value of heatmaps. The confidence is part of the evaluation scheme, e.g., AP for the MSCOCO dataset, yet has been largely overlooked in the development of state-of-the-art methods.
Kerui Gu, Rongyu Chen, Angela Yao
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Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation
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 +4 more
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Computer Vision Using Pose Estimation
Wasit Journal of Computer and Mathematics Science, 2023 Pose estimation involves estimating the position and orientation of objects in a 3D space, and it has applications in areas such as robotics, augmented reality, and human-computer interaction.
Ghazali Bin Sulong, M . Randles
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Robust Estimation of 3D Human Poses from a Single Image [PDF]
, 2014 Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose/joint detector.
Gao, Wen +4 more
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Evaluation of Camera Pose Estimation Using Human Head Pose Estimation
SN Computer Science, 2023 AbstractWe introduce and evaluate a novel camera pose estimation framework that uses the human head as a calibration object. The proposed method facilitates extrinsic calibration from 2D input images (NIR and/or RGB), while merely relying on the detected human head, without the need for depth information. The approach is applicable to single cameras or
Robert Fischer 0009 +2 more
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Robust Camera Pose Estimation from Line Correspondences Using GNC [PDF]
Modeling, Identification and ControlA solution to the Perspective-n-Lines (PnL) problem is proposed where a large fraction of outliers can be handled. The approach estimates camera pose from 2D-3D line correspondences where outliers are in the form of line mismatches. The solution is based
Hans K.R. Holen +2 more
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DeepPose: Human Pose Estimation via Deep Neural Networks [PDF]
, 2014 We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem towards body joints.
Szegedy, Christian, Toshev, Alexander
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Generalised Linear Pose Estimation [PDF]
Procedings of the British Machine Vision Conference 2007, 2007 This paper investigates several aspects of 3D-2D camera pose estimation, aimed at robot navigation in poorly-textured scenes. The major contribution is a fast, linear algorithm for the general case with six or more points. We show how to specialise this to work with only four or five points, which is of utmost importance in a test and hypothesis ...
Andreas Ess +2 more
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