Title :
Illumination-invariant representation for natural colour images through SIFT matching
Author_Institution :
LORIA-projet Magrit, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France
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.
Keywords :
image colour analysis; image matching; image representation; lighting; transforms; Lambertian reflectance; Planckian lighting model; SIFT matching; computer vision applications; illumination conditions; illumination-invariant representation; natural colour images; shadow lightening; shadow removal; Cameras; Computer vision; Image color analysis; Image edge detection; Lighting; Three-dimensional displays; Vectors; Illumination-invariant representation; Lambertian reflectance; Planckian lighting; SIFT; shadows;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6637996
