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ICCV
1999
IEEE
15 years 11 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
188
Voted
SCALESPACE
1999
Springer
15 years 11 months ago
Scales in Natural Images and a Consequence on their Bounded Variation Norm
This paper introduces a new method for analyzing scaling phenomena in natural images, and draws some consequences as to whether natural images belong to the space of functions with...
Luis Alvarez, Yann Gousseau, Jean-Michel Morel
166
Voted
SCALESPACE
1999
Springer
15 years 11 months ago
Morphological Scale-Space Representation with Levelings
A morphological scale-space representation is presented based on a morphological strong filter, the levelings. The scale-properties are analysed and illustrated. From one scale to...
Fernand Meyer, Petros Maragos
189
Voted
ACCV
1998
Springer
15 years 11 months ago
Optical Flow in the Scale Space
Scale space is a natural way to handle multi-scale problems. Yang and Ma have considered the correspondence between scales, and proposed optical flow in the scale space. In this p...
Qing Yang, Songde Ma
189
Voted
CVPR
1997
IEEE
15 years 11 months ago
Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction
In this paper, sequences of camera motions that lead to inherent ambiguities in uncalibrated Euclidean reconstruction or self-calibration are studied. Our main contribution is a co...
Peter F. Sturm