Results 1 - 10 of 1,064

Abstract Pose-independent Simplification of Articulated Meshes

by unknown authors
"... Methods for triangle mesh decimation are common; however, most existing techniques operate only on static geometry. In this paper, we present a view- and pose-independent method for the automatic simplification of skeletally articulated meshes. Such meshes have associated kinematic skeletons that ar ..."
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Methods for triangle mesh decimation are common; however, most existing techniques operate only on static geometry. In this paper, we present a view- and pose-independent method for the automatic simplification of skeletally articulated meshes. Such meshes have associated kinematic skeletons

Pose-independent face identification from video sequences

by Michael C. Lincoln, Adrian F. Clark - In Proc. BMVC , 2001
"... A scheme for pose-independent face recognition is presented. An “unwrapped” texture map is constructed from a video sequence using a texture-from-motion approach, which is shown to be quite accurate. Simple lighting normalization methods improve robustness to directional and/or varying lighting cond ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
A scheme for pose-independent face recognition is presented. An “unwrapped” texture map is constructed from a video sequence using a texture-from-motion approach, which is shown to be quite accurate. Simple lighting normalization methods improve robustness to directional and/or varying lighting

Recovering 3D Human Pose from Monocular Images

by Ankur Agarwal, Bill Triggs
"... We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor prior labelling of body parts in the image. Instead, it recovers pose by direct nonlinear regression against shape descrip ..."
Abstract - Cited by 261 (0 self) - Add to MetaCart
real human motion capture data. The method is demonstrated on a 54-parameter full body pose model, both quantitatively on independent but similar test data, and qualitatively on real image sequences. Mean angular errors of 4–5 degrees are obtained — a factor of 3 better than the current state

Removing Electroencephalographic Artifacts: Comparison between ICA and PCA

by Tzyy-Ping Jung, Colin Humphries, Te-won Lee, Scott Makeig, Martin J. Mckeown, Vicente Iragui, Terrence J. Sejnowski , 1998
"... Pervasive electroencephalographic (EEG) artifacts associated with blinks, eye-movements, muscle noise, cardiac signals, and line noise poses a major challenge for EEG interpretation and analysis. Here, we propose a generally applicable method for removing a wide variety of artifacts from EEG records ..."
Abstract - Cited by 240 (22 self) - Add to MetaCart
Pervasive electroencephalographic (EEG) artifacts associated with blinks, eye-movements, muscle noise, cardiac signals, and line noise poses a major challenge for EEG interpretation and analysis. Here, we propose a generally applicable method for removing a wide variety of artifacts from EEG

Beyond Independent Relevance: Methods and Evaluation Metrics for Subtopic Retrieval

by Cheng Zhai, William W. Cohen, John Lafferty - In Proceedings of SIGIR , 2003
"... We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with finding documents that cover many different subtopics of a query topic. This means that the utility of a document in a ranking is dependent on other documents in the ranking, v ..."
Abstract - Cited by 217 (6 self) - Add to MetaCart
, violating the assumption of independent relevance which is assumed in most traditional retrieval methods. Subtopic retrieval poses challenges for evaluating performance, as well as for developing effective algorithms. We propose a framework for evaluating subtopic retrieval which generalizes the traditional

Heuristics for Integer Programming Using Surrogate Constraints

by Fred Glover - Decision Sciences , 1977
"... This paper proposes a class of surrogate constraint heuristics for obtaining approximate, 'near optimal solutions to integer programming problems. These heuris· tics are based on a simple framework that illuminates the character of several carlier heuristic proposals and provides a variety of n ..."
Abstract - Cited by 239 (37 self) - Add to MetaCart
of new alternatives. The paper also pro· poses additional heuristics that can be used either to supplement the surrogate constraint procedures or to provide independent solution strategies. Preliminary compulotional results are reported for applying one of these aJternatives to a class of nonlinear

Image Decomposition via the Combination of Sparse Representations and a Variational Approach

by J. -l. Starck, M. Elad, D.L. Donoho - IEEE Transactions on Image Processing , 2004
"... The separation of image content into semantic parts plays a vital role in applications such as compression, enhancement, restoration, and more. In recent years several pioneering works suggested such a separation based on variational formulation, and others using independent component analysis and s ..."
Abstract - Cited by 219 (28 self) - Add to MetaCart
The separation of image content into semantic parts plays a vital role in applications such as compression, enhancement, restoration, and more. In recent years several pioneering works suggested such a separation based on variational formulation, and others using independent component analysis

T.: Sparse probabilistic regression for activity-independent human pose inference

by Raquel Urtasun, Trevor Darrell - In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR , 2008
"... Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping have been limited in their ability to handle domains with a large number of activities that require very large training set ..."
Abstract - Cited by 58 (10 self) - Add to MetaCart
regression (vs. global regression) for monotonically decreasing covariance functions. Our method can determine when training examples are redundant given the rest of the database, and use this criteria for pruning. We report results on synthetic (Poser) and real (Humaneva) pose databases, obtaining fast

3D Human Pose from Silhouettes by Relevance Vector Regression

by Ankur Agarwal, Bill Triggs - In CVPR , 2004
"... We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor prior labelling of body parts in the image. Instead, it recovers pose by direct nonlinear regression against shape descript ..."
Abstract - Cited by 199 (8 self) - Add to MetaCart
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor prior labelling of body parts in the image. Instead, it recovers pose by direct nonlinear regression against shape

Face Recognition under Variation of Pose and Illumination using Independent Component Analysis

by Kailash J. Karande, Sanjay N. Talbar
"... This paper addresses the problem of face recognition under variation of illumination and poses with large rotation angles using Independent Component Analysis (ICA). Face recognition using ICA, based on information theory concepts, seek a computational model that best describes face, by extracting m ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
of images. The independent components obtained by ICA algorithm are used as feature vectors for classification. The Euclidian distance classifier is used for testing of the images. The variation in illumination and facial poses up to 180 0 rotation angle is used by the proposed method and result shows
Results 1 - 10 of 1,064