CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Utilization of an acoustic camera for range measurements is a key advantage for 3-D shape recovery of underwater targets by opti-acoustic stereo imaging, where the associated epip...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Conventional stereo matching algorithms assume color constancy on the corresponding opaque pixels in the stereo images. However, when the foreground objects with fractional bounda...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
We consider the problem of detecting and accounting for the presence of occluders in a 3D scene based on silhouette cues in video streams obtained from multiple, calibrated views....
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
In this paper, a projection model is presented for cameras moving at constant velocity (which we refer to as Galilean cameras). To that end, we introduce the concept of spacetime ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
This paper introduces a variational formulation for image denoising based on a quadratic function over kernels of variable bandwidth. These kernels are scale adaptive and reflect ...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
The concept of the Bayesian optimal single threshold is a well established and widely used classification technique. In this paper, we prove that when spatial cohesion is assumed ...