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» Image matching based on a local invariant descriptor
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ICPR
2006
IEEE
16 years 7 months ago
Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features
This paper brings together two recent developments in image analysis. We consider a new mathematical framework that provides illumination invariant descriptors for face detection....
Christian Bauckhage, Thomas Käster
JMIV
2007
115views more  JMIV 2007»
15 years 6 months ago
Combining Points and Tangents into Parabolic Polygons
Image and geometry processing applications estimate the local geometry of objects using information localized at points. They usually consider information about the tangents as a s...
Marcos Craizer, Thomas Lewiner, Jean-Marie Morvan
JMIV
2000
90views more  JMIV 2000»
15 years 6 months ago
Invariants to Convolution in Arbitrary Dimensions
Processing of multidimensional image data which were acquired by a linear imaging system of unknown point-spread function (PSF) is an important problem whose solution usually requi...
Jan Flusser, Jirí Boldys, Barbara Zitov&aac...
IVC
2007
95views more  IVC 2007»
15 years 6 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
COST
2009
Springer
179views Multimedia» more  COST 2009»
16 years 22 days ago
Illumination Invariant Face Recognition by Non-Local Smoothing
Abstract. Existing face recognition techniques struggle with their performance when identities have to be determined (recognized) based on image data captured under challenging ill...
Vitomir Struc, Nikola Pavesic