CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide c...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriente...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
This paper presents an approach that uses conformal mapping to parameterize a document's 3D shape to a 2D plane. Using this conformal parametrization, a restorative mapping b...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is ch...
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invaria...