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Conference Papers Year : 2013

Illumination-invariant representation for natural colour images through SIFT matching

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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Dates and versions

hal-00804736 , version 1 (26-03-2013)

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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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