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» An Algorithm for Intrinsic Dimensionality Estimation
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ICCV
2001
IEEE
16 years 1 months ago
Deriving Intrinsic Images from Image Sequences
Intrinsic images are a useful midlevel description of scenes proposed by Barrow and Tenenbaum [1]. An image is decomposed into two images: a reflectance image and an illumination ...
Yair Weiss
CVPR
2009
IEEE
16 years 6 months ago
Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds
The mean shift algorithm, which is a nonparametric density estimator for detecting the modes of a distribution on a Euclidean space, was recently extended to operate on analytic ...
Hasan Ertan Çetingül, René Vida...
106
Voted
PAMI
2006
141views more  PAMI 2006»
14 years 11 months ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee
ICPR
2006
IEEE
16 years 22 days ago
Euclidean Reconstruction of Deformable Structure Using a Perspective Camera with Varying Intrinsic Parameters
In this paper we present a novel approach for the 3D Euclidean reconstruction of deformable objects observed by a perspective camera with variable intrinsic parameters. We formula...
Alessio Del Bue, Lourdes de Agapito, Xavier Llad&o...
ICVS
2009
Springer
15 years 6 months ago
A Fast Joint Bioinspired Algorithm for Optic Flow and Two-Dimensional Disparity Estimation
The faithful detection of the motion and of the distance of the objects in the visual scene is a desirable feature of any artificial vision system designed to operate in unknown e...
Manuela Chessa, Silvio P. Sabatini, Fabio Solari