Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios


Share/Save/Bookmark

Boom, Bas and Spreeuwers, Luuk and Veldhuis, Raymond (2009) Model-Based Illumination Correction for Face Images in Uncontrolled Scenarios. In: Computer Analysis of Images and Patterns 2009, 2-4 Sep 2009, Munster (pp. pp. 33-40).

[img] PDF
Restricted to UT campus only
: Request a copy
275kB
Abstract:Face Recognition under uncontrolled illumination conditions is partly an unsolved problem. Several illumination correction methods have been proposed, but these are usually tested on illumination conditions created in a laboratory. Our focus is more on uncontrolled conditions. We use the Phong model which allows us to model ambient light in shadow areas. By estimating the face surface and illumination conditions, we are able to reconstruct a face image containing frontal illumination. The reconstructed face images give a large improvement in performance of face recognition in uncontrolled conditions.
Item Type:Conference or Workshop Item
Copyright:© 2009 Springer
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/68801
Official URL:http://dx.doi.org/10.1007/978-3-642-03767-2_4
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page