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Conference papers

Illumination-invariant representation for natural colour images through SIFT matching

Frédéric Sur 1 
1 MAGRIT - Visual Augmentation of Complex Environments
Inria Nancy - Grand Est, LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : Illumination conditions may severely impair many computer vision applications. Defining an illumination-invariant representation from a colour image is therefore of great interest. Assuming that two views of a scene are available, we show that it is easy to derive such a representation from correspondences between interest points, within a Lambertian reflectance / Planckian lighting model. An application to shadow removal or lightening is also discussed.
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Submitted on : Tuesday, March 26, 2013 - 11:13:58 AM
Last modification on : Saturday, June 25, 2022 - 7:45:46 PM
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Frédéric Sur. Illumination-invariant representation for natural colour images through SIFT matching. ICASSP - 38th International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. pp.1962 - 1966, ⟨10.1109/ICASSP.2013.6637996⟩. ⟨hal-00804736⟩



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