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» Invariant representation in image processing
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TOG
2010
106views more  TOG 2010»
14 years 6 months ago
Accelerating spatially varying Gaussian filters
High-dimensional Gaussian filters, most notably the bilateral filter, are important tools for many computer graphics and vision tasks. In recent years, a number of techniques for ...
Jongmin Baek, David E. Jacobs
CVPR
2000
IEEE
16 years 1 months ago
Reliable Feature Matching across Widely Separated Views
In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Un...
Adam Baumberg
ICPR
2004
IEEE
16 years 1 months ago
Three-Dimensional Model Based Face Recognition
The performance of face recognition systems that use twodimensional (2D) images is dependent on consistent conditions such as lighting, pose and facial expression. We are developi...
Anil K. Jain, Dirk Colbry, Xiaoguang Lu
BMCV
2000
Springer
15 years 4 months ago
Towards a Computational Model for Object Recognition in IT Cortex
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
David G. Lowe
BCS
2008
15 years 1 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...