Results 241 to 250 of about 552,088 (293)

Texture Driven Pose Estimation

International Conference on Computer Graphics, Imaging and Visualization (CGIV'05), 2005
This 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.
openaire   +2 more sources

Robust pose estimation

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.
openaire   +2 more sources

Limb Pose Aware Networks for Monocular 3D Pose Estimation

IEEE Transactions on Image Processing, 2022
In 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
openaire   +2 more sources

Gravitational pose estimation

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
openaire   +1 more source

Pose Estimation With Segmentation Consistency

IEEE Transactions on Image Processing, 2013
In 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
openaire   +2 more sources

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