DocumentCode
2321690
Title
Pixel-level similarity fusion for image classification
Author
James, Alex Pappachen
Author_Institution
Queensland Micro- & Nanotechnol. Centre, Griffith Univ., Griffith, NSW, Australia
fYear
2010
fDate
27-30 June 2010
Firstpage
1
Lastpage
3
Abstract
Recent research shows that local similarity calculations play a significant role in improving the recognition performance of template matching systems. We present a new scheme for parametric similarity calculation and fusion for image classification. State-of-the-art recognition results are obtained using the proposed method for a difficult task involving face images.
Keywords
face recognition; image classification; image fusion; face image; image classification; parametric similarity calculation; pixel-level similarity fusion; recognition performance; template matching; Book reviews; Pixel; Psychology; Classification; Similarity; Template matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Signals and Devices (SSD), 2010 7th International Multi-Conference on
Conference_Location
Amman
Print_ISBN
978-1-4244-7532-2
Type
conf
DOI
10.1109/SSD.2010.5585518
Filename
5585518
Link To Document