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Fast pose estimation with parameter-sensitive hashing

by Gregory Shakhnarovich, Paul Viola, Trevor Darrell - 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 - Cited by 250 (8 self) - Add to MetaCart
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

by Vittorio Ferrari, Manuel Marín-jiménez, Andrew Zisserman - 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 ..."
Abstract - Cited by 226 (30 self) - Add to MetaCart
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

by Bodo Rosenhahn, Yiwen Zhang, Gerald Sommer - 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 ..."
Abstract - Cited by 8 (7 self) - Add to MetaCart
. 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

by Robert M. Haralick, Fellow Ieee, Hyonam Joo, Chung-nan Lee, Xinhua Zhuang, Vinay G. Vaidya, Man, Bae Kim - 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 - Cited by 199 (2 self) - Add to MetaCart
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

by Erik Murphy-Chutorian, Mohan Manubhai Trivedi - 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 ..."
Abstract - Cited by 195 (13 self) - Add to MetaCart
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

by Yi Yang, Deva Ramanan - 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 ..."
Abstract - Cited by 179 (8 self) - Add to MetaCart
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

by Bodo Rosenhahn, Harvey Ho, Reinhard Klette
"... 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 ..."
Abstract - Add to MetaCart
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

by Eyrun Eyjolfsdottir, Matthew Turk
"... 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 ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
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

by Benjamin Laxton, Advised Prof, David Kriegman
"... 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 ..."
Abstract - Add to MetaCart
. 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

by Xiangxin Zhu, Deva Ramanan
"... 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 ..."
Abstract - Cited by 189 (6 self) - Add to MetaCart
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
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