Results 141 to 150 of about 556,231 (187)
DE-HRNet: Detail enhanced high-resolution network for human pose estimation. [PDF]
PLoS OneLiu Y, Zhou G, He W, Zhu H, Cui Y.
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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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On the Estimation of Children’s Poses
2017Deep Learning architectures have obtained significant results for human pose estimation in the last years. Studies of the state of the art usually focus their attention on the estimation of the human pose of adults people depicted in images. The estimation of the pose of child (infants, toddlers, children) is sparsely studied despite it can be very ...
Giuseppa Sciortino +4 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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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.
Bodo Rosenhahn +2 more
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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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Pose estimation for planar structures
IEEE Computer Graphics and Applications, 2002We address the registration problem for interactive AR applications. Such applications require a real-time registration process. Although the registration problem has received a lot of attention in the computer vision community, it's far from being solved. Ideally, an AR system should work in all environments without the need to prepare the scene ahead
Simon, Gilles, Berger, Marie-Odile
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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.
openaire +1 more source