ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
This paper presents a framework to reconstruct a scene captured in multiple camera views based on a prior model of the scene geometry. The framework is applied to the capture of a...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
To what extent can three-dimensional shape and radiance be inferred from a collection of images? Can the two be estimated separately while retaining optimality? How should the opt...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensio...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
Visual learning is expected to be a continuous and robust process, which treats input images and pixels selectively. In this paper we present a method for subspace learning, which...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
Previous studies have demonstrated that the appearance of an object under varying illumination conditions can be represented by a low-dimensional linear subspace. A set of basis i...
ICCV
2003
IEEE
14 years 12 months ago
2003
IEEE
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...