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TMI
1998
166views more  TMI 1998»
14 years 9 months ago
Geodesic Deformable Models for Medical Image Analysis
—In this paper implicit representations of deformable models for medical image enhancement and segmentation are considered. The advantage of implicit models over classical explic...
Wiro J. Niessen, Bart M. ter Haar Romeny, Max A. V...
ICCV
2001
IEEE
15 years 11 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
CVPR
2010
IEEE
15 years 5 months ago
A Novel Riemannian Framework for Shape Analysis of 3D Objects
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
Sebastian Kurtek, Eric Klassen, Anuj Srivastava, Z...
ECCV
2010
Springer
15 years 2 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
MUM
2005
ACM
129views Multimedia» more  MUM 2005»
15 years 2 months ago
Mobile camera-based adaptive viewing
In this paper, we present an approach for facilitating user interaction on mobile devices, focusing on camera-enabled mobile phones. A user interacts with an application by moving...
Antonio Haro, Koichi Mori, Vidya Setlur, Tolga K. ...