Sciweavers

92
Voted
ECCV
2000
Springer
16 years 4 months ago
Calibrating Parameters of Cost Functionals
Laurent Younes
112
Voted
ECCV
2000
Springer
16 years 4 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
137
Voted
ECCV
2000
Springer
16 years 4 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
118
Voted
ECCV
2000
Springer
16 years 4 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
127
Voted
ECCV
2000
Springer
16 years 4 months ago
Diffeomorphic Matching Problems in One Dimension: Designing and Minimizing Matching Functionals
This paper focuses on matching 1D structures by variational methods. We provide rigorous rules for the construction of the cost function, on the basis of an analysis of properties ...
Alain Trouvé, Laurent Younes
ECCV
2000
Springer
16 years 4 months ago
Plane+Parallax, Tensors and Factorization
Abstract. We study the special form that the general multi-image tensor formalism takes under the plane + parallax decomposition, including matching tensors and constraints, closur...
Bill Triggs
112
Voted
ECCV
2000
Springer
16 years 4 months ago
Regularised Range Flow
Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how...
Bernd Jähne, Hagen Spies, John L. Barron
ECCV
2000
Springer
16 years 4 months ago
Motion Segmentation by Tracking Edge Information over Multiple Frames
Paul Smith, Tom Drummond, Roberto Cipolla
146
Voted
ECCV
2000
Springer
16 years 4 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...