Sciweavers

88
Voted
CVPR
2006
IEEE
16 years 2 months ago
Multi-View Stereo Revisited
We present an extremely simple yet robust multi-view stereo algorithm and analyze its properties. The algorithm first computes individual depth maps using a window-based voting ap...
Michael Goesele, Brian Curless, Steven M. Seitz
82
Voted
CVPR
2006
IEEE
16 years 2 months ago
Scale Variant Image Pyramids
Multi-scale representations are motivated by the scale invariant properties of natural images. While many low level statistical measures, such as the local mean and variance of in...
Joshua Gluckman
114
Voted
CVPR
2006
IEEE
16 years 2 months ago
Kernel-based Template Alignment
This paper introduces a novel kernel-based method for template tracking in video sequences. The method is derived for a general warping transformation, and its application to affi...
Igor Guskov
108
Voted
CVPR
2006
IEEE
16 years 2 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun
CVPR
2006
IEEE
16 years 2 months ago
Are two rotational flows sufficient to calibrate a smooth non-parametric sensor?
We present an attempt to determine whether the shape of a generic central-projection camera, such as the eye of an insect or a log-polar camera, can be determined from two motion ...
David Nistér, Etienne Grossmann, Eun-Joo Le...
102
Voted
CVPR
2006
IEEE
16 years 2 months ago
Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
68
Voted
CVPR
2006
IEEE
16 years 2 months ago
A Refractive Camera for Acquiring Stereo and Super-resolution Images
Chunyu Gao, Narendra Ahuja
87
Voted
CVPR
2006
IEEE
16 years 2 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
CVPR
2006
IEEE
16 years 2 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
110
Voted
CVPR
2006
IEEE
16 years 2 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman