Title :
Face recognition via discriminative dictionary learning
Author :
Jaesik Yoon ; Yoo, Choong D.
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Abstract :
This paper proposes a novel discriminative dictionary learning algorithm for face recognition. A benefit of proposed algorithm is that it can learn discriminative dictionary by represented sparse coding. Our proposed algorithm makes more discriminative features than previous by using the discriminative dictionary. Face recognition experiment is performed for Extended Yale B face dataset and shows better performance than ever.
Keywords :
face recognition; image coding; learning (artificial intelligence); discriminative dictionary learning algorithm; discriminative features; extended Yale B face dataset; face recognition; represented sparse coding; Classification algorithms; Dictionaries; Encoding; Face; Face recognition; Image coding; Linear programming; dictionary learning; face recognition; sparse coding;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884538