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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICCV
2001
IEEE
16 years 8 months ago
A Versatile Method for Trifocal Tensor Estimation
Reliable estimation of the trifocal tensor is crucial for 3D reconstruction from uncalibrated cameras. The estimation process is based on minimizing the geometric distances betwee...
Bogdan Matei, Bogdan Georgescu, Peter Meer
ECCV
2008
Springer
16 years 8 months ago
Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery
We address the problem of efficiently estimating the rotation of a camera relative to the canonical 3D Cartesian frame of an urban scene, under the so-called "Manhattan World&...
Patrick Denis, James H. Elder, Francisco J. Estrad...
ICIP
2008
IEEE
16 years 8 months ago
Subspace-based methods for image registration and super-resolution
Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domai...
Patrick Vandewalle, Loïc Baboulaz, Pier Luigi...
ICPR
2002
IEEE
16 years 7 months ago
Fast Extraction of Tubular and Tree 3D Surfaces with Front Propagation Methods
We present a new fast approach for surface segmentation of thin structures, like vessels and vascular trees, based on Fast Marching and Level Sets methods. Fast Marching allows se...
Thomas Deschamps, Laurent D. Cohen