Results 11 - 20 of 11,762

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
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

Orientifolds and Mirror symmetry

by Ilka Brunner, Kentaro Hori , 2003
"... We study parity symmetries and crosscap states in classes of N = 2 supersymmetric quantum field theories in 1+1 dimensions, including non-linear sigma models, gauged WZW models, Landau-Ginzburg models, and linear sigma models. The parity anomaly and its cancellation play important roles in many of t ..."
Abstract - Cited by 271 (11 self) - Add to MetaCart
We study parity symmetries and crosscap states in classes of N = 2 supersymmetric quantum field theories in 1+1 dimensions, including non-linear sigma models, gauged WZW models, Landau-Ginzburg models, and linear sigma models. The parity anomaly and its cancellation play important roles in many

Nonlinear Anisotropic Filtering Of MRI Data

by Guido Gerig, Olaf Kübler, Ron Kikinis, Ferenc A. Jolesz , 1992
"... Despite significant improvements in image quality over the past several years, the full exploitation of magnetic resonance image (MRI) data is often limited by low signal to noise ratio (SNR) or contrast to noise ratio (CNR). In implementing new MR techniques, the criteria of acquisition speed and i ..."
Abstract - Cited by 198 (16 self) - Add to MetaCart
. In contrast to acquisition-based noise reduction methods we propose a postprocess based on anisotropic diffusion. Extensions of this new technique support 3-D and multi-echo MRI, incorporating higher spatial and spectral dimensions. The procedure overcomes the major drawbacks of conventional filter methods

Recovering 3D Shape and Motion from Image Streams using Non-Linear Least Squares

by Richard Szeliski, Sing Bing Kang , 1993
"... The simultaneous recovery of 3D shape and motion from image sequences is one of the more difficult problems in computer vision. Classical approaches to the problem rely on using algebraic techniques to solve for these unknowns given two or more images. More recently, a batch analysis of image stream ..."
Abstract - Cited by 215 (33 self) - Add to MetaCart
The simultaneous recovery of 3D shape and motion from image sequences is one of the more difficult problems in computer vision. Classical approaches to the problem rely on using algebraic techniques to solve for these unknowns given two or more images. More recently, a batch analysis of image

A Toolkit for Analyzing Nonlinear Dynamic Stochastic Models Easily

by Harald Uhlig
"... Often, researchers wish to analyze nonlinear dynamic discrete-time stochastic models. This chapter provides a toolkit for solving such models easily, building on log-linearizing the necessary equations characterizing the equilibrium and solving for the recursive equilibrium law of motion with the me ..."
Abstract - Cited by 216 (2 self) - Add to MetaCart
Often, researchers wish to analyze nonlinear dynamic discrete-time stochastic models. This chapter provides a toolkit for solving such models easily, building on log-linearizing the necessary equations characterizing the equilibrium and solving for the recursive equilibrium law of motion

The Relaxation Schemes for Systems of Conservation Laws in Arbitrary Space Dimensions

by S. Jin, Z. Xin, Shi Jin, Zhouping Xin - Comm. Pure Appl. Math , 1995
"... We present a class of numerical schemes (called the relaxation schemes) for systems of conservation laws in several space dimensions. The idea is to use a local relaxation approximation. We construct a linear hyperbolic system with a stiff lower order term that approximates the original system with ..."
Abstract - Cited by 250 (21 self) - Add to MetaCart
with a small dissipative correction. The new system can be solved by underresolved stable numerical discretizations without using either Riemann solvers spatially or a nonlinear system of algebraic equations solver temporally. Numerical results for 1-D and 2-D problems are presented. The second order

Autocalibration and the absolute quadric

by Bill Triggs - in Proc. IEEE Conf. Computer Vision, Pattern Recognition , 1997
"... We describe a new method for camera autocalibration and scaled Euclidean structure and motion, from three or more views taken by a moving camera with fixed but unknown intrinsic parameters. The motion constancy of these is used to rectify an initial projective reconstruction. Euclidean scene structu ..."
Abstract - Cited by 248 (7 self) - Add to MetaCart
structure is formulated in terms of the absolute quadric — the singular dual 3D quadric ( rank 3 matrix) giving the Euclidean dot-product between plane normals. This is equivalent to the traditional absolute conic but simpler to use. It encodes both affine and Euclidean structure, and projects very simply

Generalization Of An Inequality By Talagrand, And Links With The Logarithmic Sobolev Inequality

by F. Otto, C. Villani - J. Funct. Anal , 2000
"... . We show that transport inequalities, similar to the one derived by Talagrand [30] for the Gaussian measure, are implied by logarithmic Sobolev inequalities. Conversely, Talagrand's inequality implies a logarithmic Sobolev inequality if the density of the measure is approximately log-concave, ..."
Abstract - Cited by 244 (12 self) - Add to MetaCart
. Main results 5 3. Heuristics 11 4. Proof of Theorem 1 18 5. Proof of Theorem 3 24 6. An application of Theorem 1 30 7. Linearizations 31 Appendix A. A nonlinear approximation argument 35 References 36 1. Introduction Let M be a smooth complete Riemannian manifold of dimension n, with the geodesic

A Pyramid Approach to Sub-Pixel Registration Based on Intensity

by Philippe Thevenaz, Urs Ruttiman, Michal Unser , 1998
"... We present an automatic sub-pixel registration algorithm that minimizes the mean square intensity difference between a reference and a test data set, which can be either images (2-D) or volumes (3-D). It uses an explicit spline representation of the images in conjunction with spline processing, and ..."
Abstract - Cited by 237 (18 self) - Add to MetaCart
, and is based on a coarse-to-fine iterative strategy (pyramid approach). The minimization is performed according to a new variation (ML*) of the Marquardt-Levenberg algorithm for non-linear least-square optimization. The geometric deformation model is a global 3-D affine transformation that can be optionally

Fast Computation of Generalized Voronoi Diagrams Using Graphics Hardware

by Kenneth E. Hoff, III, Tim Culver, John Keyser, Ming Lin, Dinesh Manocha , 1999
"... We present a new approach for computing generalized 2D and 3D Voronoi diagrams using interpolation-based polygon rasterization hardware. We compute a discrete Voronoi diagram by rendering a three dimensional distance mesh for each Voronoi site. The polygonal mesh is a bounded-error approximation of ..."
Abstract - Cited by 234 (26 self) - Add to MetaCart
of a (possibly) non-linear function of the distance between a site and a 2D planar grid of sample points. For each sample point, we compute the closest site and the distance to that site using polygon scan-conversion and the Z-buffer depth comparison. We construct distance meshes for points, line
Results 11 - 20 of 11,762