Results 1 - 10
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9,573
Fast pose estimation with parameter-sensitive hashing
- In ICCV
, 2003
"... Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensional problems such as pose estimation, the number of required examples and the computational complexity rapidly become pro ..."
Abstract
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Cited by 250 (8 self)
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Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensional problems such as pose estimation, the number of required examples and the computational complexity rapidly become
Progressive search space reduction for human pose estimation
- In CVPR
, 2008
"... The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely challenging. We propose an approach that progressively reduces the search space for body parts, to greatly improve the chan ..."
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Cited by 226 (30 self)
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The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely challenging. We propose an approach that progressively reduces the search space for body parts, to greatly improve
Pose Estimation in the Language of Kinematics
- Second International Workshop, Algebraic Frames for the PerceptionAction Cycle, AFPAC 2000, LNCS 1888
, 2000
"... . The paper concerns 2D-3D pose estimation in the algebraic language of kinematics. The pose estimation problem is modelled on the base of several geometric constraint equations. In that way the projective geometric aspect of the topic is only implicitly represented and thus, pose estimation is ..."
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Cited by 8 (7 self)
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. The paper concerns 2D-3D pose estimation in the algebraic language of kinematics. The pose estimation problem is modelled on the base of several geometric constraint equations. In that way the projective geometric aspect of the topic is only implicitly represented and thus, pose estimation
Pose estimation from corresponding point data
- IEEE Transactions on Systems, Man and Cybernetics
, 1989
"... Abstracr--Solutions for four different pose estimation problems are presented. Closed form least-squares solutions are given to the over constrained ZD-ZD and 3-D-3-D pose estimation problems. A globally convergent iterative technique is given for the 2-D perspective projec-tion-3-D pose estimation ..."
Abstract
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Cited by 199 (2 self)
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Abstracr--Solutions for four different pose estimation problems are presented. Closed form least-squares solutions are given to the over constrained ZD-ZD and 3-D-3-D pose estimation problems. A globally convergent iterative technique is given for the 2-D perspective projec-tion-3-D pose estimation
Head Pose Estimation in Computer Vision: A Survey
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2008
"... The capacity to estimate the head pose of another person is a common human ability that presents a unique challenge for computer vision systems. Compared to face detection and recognition, which have been the primary foci of face-related vision research, identity-invariant head pose estimation has ..."
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Cited by 195 (13 self)
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The capacity to estimate the head pose of another person is a common human ability that presents a unique challenge for computer vision systems. Compared to face detection and recognition, which have been the primary foci of face-related vision research, identity-invariant head pose estimation
Articulated pose estimation with flexible mixturesof-parts
- In CVPR
"... We describe a method for human pose estimation in static images based on a novel representation of part mod-els. Notably, we do not use articulated limb parts, but rather capture orientation with a mixture of templates for each part. We describe a general, flexible mixture model for capturing contex ..."
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Cited by 179 (8 self)
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We describe a method for human pose estimation in static images based on a novel representation of part mod-els. Notably, we do not use articulated limb parts, but rather capture orientation with a mixture of templates for each part. We describe a general, flexible mixture model for capturing
Texture driven pose estimation
"... 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 pa ..."
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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
Multisensory Embedded Pose Estimation
"... We present a multisensory method for estimating the transformation of a mobile phone between two images taken from its camera. Pose estimation is a necessary step for applications such as 3D reconstruction and panorama construction, but detecting and matching robust features can be computationally e ..."
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Cited by 4 (0 self)
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We present a multisensory method for estimating the transformation of a mobile phone between two images taken from its camera. Pose estimation is a necessary step for applications such as 3D reconstruction and panorama construction, but detecting and matching robust features can be computationally
Monocular Human Pose Estimation
"... Automatic human motion capture is an important and significant problem in the computer vision community. A successful system may have many applications including inexpensive motion capture and analysis in unconstrained environments, human-computer interfaces, and automatic surveillance systems. This ..."
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. This work focuses on an important sub-problem in computer vision based motion capture: monocular human pose estimation. This problem is characterized by methods that do not rely on temporal information or multiple images, but instead try to estimate a person’s pose by measuring a single image. This sub
Face Detection, Pose Estimation, and Landmark Localization in the Wild
"... We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared pool of parts; we model every facial landmark as a part and use global mixtures to capture topological changes due to viewp ..."
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Cited by 189 (6 self)
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We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared pool of parts; we model every facial landmark as a part and use global mixtures to capture topological changes due
Results 1 - 10
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9,573