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» Invariant Image Object Recognition Using Mixture Densities
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CVPR
2000
IEEE
16 years 1 months ago
In Search of Illumination Invariants
We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We rst show that for an object with Lambertian r e e ctanc ...
Hansen F. Chen, Peter N. Belhumeur, David W. Jacob...
CVPR
2012
IEEE
13 years 2 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
CVIU
2004
143views more  CVIU 2004»
14 years 11 months ago
Shape matching of partially occluded curves invariant under projective transformation
This paper describes a method to identify partially occluded shapes which are randomly oriented in 3D space. The goal is to match the object contour present in an image with an ob...
Carlos Orrite, José Elías Herrero Ja...
CVPR
2005
IEEE
16 years 1 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
ACCV
2010
Springer
14 years 6 months ago
3D Object Recognition Based on Canonical Angles between Shape Subspaces
We propose a method to measure similarity of shape for 3D objects using 3-dimensional shape subspaces produced by the factorization method. We establish an index of shape similarit...
Yosuke Igarashi, Kazuhiro Fukui