CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
This paper presents a new volumetric stereo algorithm to reconstruct the 3D shape of an arbitrary object. Our method is based on finding the minimum cut in an octahedral graph str...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
In this paper, we propose a sequential approach to hallucinate/synthesize high-resolution images of multiple facial expressions. We propose an idea of multi-resolution tensor for ...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Image understanding requires not only individually estimating elements of the visual world but also capturing the interplay among them. In this paper, we provide a framework for p...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
This paper considers the use of stereo vision in structured environments. Sharp discontinuities and large untextured areas must be anticipated, but complex or natural shapes of ob...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
In this paper, we present a prototype video surveillance system that uses stationary-dynamic (or master-slave) camera assemblies to achieve wide-area surveillance and selective fo...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
Recently four non-iterative algorithms for simultaneous low rank approximations of matrices (SLRAM) have been presented by several researchers. In this paper, we show that those a...
CVPR
2006
IEEE
15 years 1 months ago
2006
IEEE
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...