Paper Info
Title
Illumination-Invariant Face Representation Via Normalized Structural Information
Abstract
A novel method for illumination-invariant face representation is presented based on the orthogonal decomposition of the local image structure. One important advantage of the proposed method is that image gradients and corresponding intensity values are simultaneously used with our decomposition procedure to preserve the original texture while yielding the illumination-invariant feature space. Experimental results demonstrate that the proposed method is effective for face recognition and verification even with diverse lighting conditions.
Year
DOI
Venue
2016
10.1587/transinf.2016EDL8097
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
illumination-invariant face representation, orthogonal decomposition, original texture, diverse lighting conditions
Computer vision,Normalization (statistics),Pattern recognition,Computer science,Invariant (mathematics),Artificial intelligence,Orthogonal decomposition
Journal
Volume
Issue
ISSN
E99D
10
1745-1361
Citations 
PageRank 
References 
0
0.34
7
Authors
1
Name
Order
Citations
PageRank
Wonjun Kim130126.50