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ICCV
2001
IEEE

Image Detection Under Varying Illumination and Pose

10 years 10 months ago
Image Detection Under Varying Illumination and Pose
This paper focuses on the detection of objects with Lambertian surface under both varying dlumination and pose We offer to apply a novel detection method that proceeds by modeling the d@erent illuminations from a small number of images in the training set, this automatically voids the illumination effects, allowing fast dlumination invariant detection, without having to create a large training set It is demonstrated that the method `~ts in" nicely with previous work about the modeling oj the set of object appearances under varying illumination In the experiments, an object was correctly detected under image plane rotations in a 45-degrees range, and a wide variety of dl~erent illuminations
Margarita Osadchy, Daniel Keren
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2001
Where ICCV
Authors Margarita Osadchy, Daniel Keren
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