117
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precis...
90
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Traditional face recognition systems attempt to achieve a high recognition accuracy, which implicitly assumes that the losses of all misclassifications are the same. However, in m...
107
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose a principled approach to summarization of visual data (images or video) based on optimization of a well-defined similarity measure. The problem we consider is re-target...
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
102
click to vote
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We present a practical algorithm that provably achieves the global optimum for a class of bilinear programs commonly arising in computer vision applications. Our approach relies o...
102
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper, we address the problem of constrained segmentation of natural images, in which a human user places one seed point inside each object of interest in the image and th...
109
click to vote
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
88
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Most algorithms for real-time tracking of deformable shapes provide sub-optimal solutions for a suitable energy minimization task: The search space is typically considered too lar...
105
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We present a novel multi-baseline, multi-resolution stereo method, which varies the baseline and resolution proportionally to depth to obtain a reconstruction in which the depth e...
109
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper, we present a non-rigid quasi-dense matching method and its application to object recognition and segmentation. The matching method is based on the match propagation...