Paper Info
Title
A fast method for localization of local illumination variations and photometric normalization in face images
Abstract
In this paper we present a method for the automatic localization of local light variations and its photometric normalization in face images affected by different angles of illumination causing the appearance of specular light. The proposed approach is faster and more efficient that if the same one was carried out on the whole image through the traditional photometric normalization methods (homomorphic filtering, anisotropic smoothing, etc.). The process consists in using of the Adaboosting algorithms for the fast detection of regions affected by specular reflection combined with a normalization method based on the local normalization that standardizes the local mean and variance into the located region. A set of measures are proposed to evaluate the effectiveness of detectors. Finally, results are compared through two experimental schemes to measure how the similarity is affected by illumination changes and how the proposed approach improves the effect caused by these changes.
Year
DOI
Venue
2006
10.1007/11892755_5
CIARP
Keywords
Field
DocType
specular reflection,local light variation,face image,normalization method,specular light,illumination change,fast method,traditional photometric normalization method,local illumination variation,photometric normalization,local normalization,local mean
Specular highlight,Computer vision,Normalization (statistics),Pattern recognition,Computer science,Specular reflection,Image processing,Smoothing,Artificial intelligence,Face detection,Luminance,Homomorphic filtering
Conference
Volume
ISSN
ISBN
4225
0302-9743
3-540-46556-1
Citations 
PageRank 
References 
0
0.34
9
Authors
5
Name
Order
Citations
PageRank
Estela María Álvarez Morales120.72
Francisco Silva-Mata231.47
Eduardo Garea Llano3236.42
Heydi Mendez Vazquez4917.10
Moisés Herrera500.34