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Occlusion-robust markerless surgical instrument pose estimation. [PDF]
Xu H, Giannarou S.
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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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2011 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2011
This paper presents a method for relative pose estimation between two devices. Typically pose estimation is based on detecting positions of known feature points of a tracked object. I literally take a new viewpoint to this problem by considering two camera-enabled devices tracking each other.
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This paper presents a method for relative pose estimation between two devices. Typically pose estimation is based on detecting positions of known feature points of a tracked object. I literally take a new viewpoint to this problem by considering two camera-enabled devices tracking each other.
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2020
The task of estimating position of objects and human body in three-dimensional space is more challenging than in 2D, but the result is stunning. In this chapter we'll cover basic principles of camera optics and fundamentals of 3D reconstruction with a monocular and multiview camera.
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The task of estimating position of objects and human body in three-dimensional space is more challenging than in 2D, but the result is stunning. In this chapter we'll cover basic principles of camera optics and fundamentals of 3D reconstruction with a monocular and multiview camera.
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Camera Pose Estimation using Human Head Pose Estimation
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022Robert Fischer +2 more
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