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Enhanced real-time 6d pose estimation for automatic recovery of in-flight UAVs using distance-aware keypoint heatmaps. [PDF]
Jeong M, Choi AJ.
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ScaleFormer architecture for scale invariant human pose estimation with enhanced mixed features. [PDF]
Ge C, Qin WF.
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Quantifying the Measurement Precision of a Commercial Ultrasonic Real-Time Location System for Camera Pose Estimation in Indoor Photogrammetry. [PDF]
Nayko F, Lichti DD.
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Texture Driven Pose Estimation
International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), 2005This article presents a 2D-3D pose estimation algorithm, which relies on texture information on the surface mesh of an object model. The textured surface mesh is rendered in a virtual image and a modified block matching algorithm is applied to determine correspondences between midpoints of surface patches to points in an image.
Rosenhahn, B., Ho, H., Klette, R.
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IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1999
Standard least-squares (LS) methods for pose estimation of objects are sensitive to outliers which can occur due to mismatches. Even a single mismatch can severely distort the estimated pose. This paper describes a least-median of squares (LMedS) approach to estimating pose using point matches.
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Standard least-squares (LS) methods for pose estimation of objects are sensitive to outliers which can occur due to mismatches. Even a single mismatch can severely distort the estimated pose. This paper describes a least-median of squares (LMedS) approach to estimating pose using point matches.
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Limb Pose Aware Networks for Monocular 3D Pose Estimation
IEEE Transactions on Image Processing, 2022In the task of monocular 3D pose estimation, the estimation errors of limb joints (i.e., wrist, ankle, etc) with a higher degree of freedom(DOF) are larger than that of others (i.e., hip, thorax, etc). Specifically, errors may accumulate along the physiological structure of human body parts, and trajectories of joints with higher DOF bring in higher ...
Lele Wu +3 more
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Computers & Electrical Engineering, 2010
Problem of relative pose estimation between a camera and rigid object, given an object model with feature points and image(s) with respective image points (hence known correspondence) has been extensively studied in the literature. We propose a ''correspondenceless'' method called gravitational pose estimation (GPE), which is inspired by classical ...
H. Fatih Ugurdag +2 more
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Problem of relative pose estimation between a camera and rigid object, given an object model with feature points and image(s) with respective image points (hence known correspondence) has been extensively studied in the literature. We propose a ''correspondenceless'' method called gravitational pose estimation (GPE), which is inspired by classical ...
H. Fatih Ugurdag +2 more
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Pose Estimation With Segmentation Consistency
IEEE Transactions on Image Processing, 2013In this paper, we propose a novel method that treats pose estimation as a problem with the constraints of human segmentation consistency from single images. Different from the previous paper, we integrate pose estimation and object segmentation into a joint optimization.
Huchuan, Lu, Xinqing, Shao, Yi, Xiao
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