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» Invariances in kernel methods: From samples to objects
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CVPR
2008
IEEE
14 years 9 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
CVPR
2004
IEEE
14 years 9 months ago
Video Data Mining Using Configurations of Viewpoint Invariant Regions
We describe a method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features....
Josef Sivic, Andrew Zisserman
ICPR
2008
IEEE
14 years 2 months ago
A method for removing cyclic artefacts in discrete tomography using latin squares
This paper presents a technique to remove image artefacts, formed under the cyclic additive group Zp, during the inverse Radon reconstruction from primedimensioned discrete projec...
Shekhar Chandra, Imants D. Svalbe
ICPR
2006
IEEE
14 years 8 months ago
Illumination Invariant Texture Retrieval
Two fast illumination invariant image retrieval methods for scenes comprising textured objects with variable illumination are introduced. Both methods are based on texture gradien...
Michal Haindl, Pavel Vacha
WWW
2006
ACM
14 years 8 months ago
Random sampling from a search engine's index
We revisit a problem introduced by Bharat and Broder almost a decade ago: how to sample random pages from the corpus of documents indexed by a search engine, using only the search...
Ziv Bar-Yossef, Maxim Gurevich