Sciweavers

101
Voted
ECCV
2002
Springer
16 years 4 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
108
Voted
ECCV
2002
Springer
16 years 4 months ago
Dense Motion Analysis in Fluid Imagery
Analyzing fluid motion is essential in number of domains and can rarely be handled using generic computer vision techniques. In this particular application context, we address two ...
Thomas Corpetti, Étienne Mémin, Patr...
ECCV
2002
Springer
16 years 4 months ago
Minimal Surfaces for Stereo
Abstract. Determining shape from stereo has often been posed as a global minimization problem. Once formulated, the minimization problems are then solved with a variety of algorith...
Chris Buehler, Steven J. Gortler, Michael F. Cohen...
73
Voted
ECCV
2002
Springer
16 years 4 months ago
Multivariate Saddle Point Detection for Statistical Clustering
Dorin Comaniciu, Visvanathan Ramesh, Alessio Del B...
ECCV
2002
Springer
16 years 4 months ago
Automatic Model Selection by Modelling the Distribution of Residuals
Timothy F. Cootes, Neil A. Thacker, Christopher J....
129
Voted
ECCV
2002
Springer
16 years 4 months ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand
115
Voted
ECCV
2002
Springer
16 years 4 months ago
A Comparison of Search Strategies for Geometric Branch and Bound Algorithms
Over the last decade, a number of methods for geometric matching based on a branch-and-bound approach have been proposed. Such algorithms work by recursively subdividing transforma...
Thomas M. Breuel
106
Voted
ECCV
2002
Springer
16 years 4 months ago
Class-Specific, Top-Down Segmentation
In this paper we present a novel class-based segmentation method, which is guided by a stored representation of the shape of objects within a general class (such as horse images). ...
Eran Borenstein, Shimon Ullman
120
Voted
ECCV
2002
Springer
16 years 4 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer