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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Communication dans un congrès
ICASSP - 38th International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. pp.1962 - 1966, 2013, 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6637996〉. 〈10.1109/ICASSP.2013.6637996〉
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https://hal.inria.fr/hal-00804736
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Soumis le : mardi 26 mars 2013 - 11:13:58
Dernière modification le : jeudi 11 janvier 2018 - 06:25:23
Document(s) archivé(s) le : jeudi 27 juin 2013 - 04:00:55

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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, 2013, 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6637996〉. 〈10.1109/ICASSP.2013.6637996〉. 〈hal-00804736〉

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