TY - GEN
T1 - Pixel-level similarity fusion for image classification
AU - James, Alex Pappachen
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Classification
KW - Similarity
KW - Template matching
UR - http://www.scopus.com/inward/record.url?scp=78149234975&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149234975&partnerID=8YFLogxK
U2 - 10.1109/SSD.2010.5585518
DO - 10.1109/SSD.2010.5585518
M3 - Conference contribution
AN - SCOPUS:78149234975
SN - 9781424475346
T3 - 2010 7th International Multi-Conference on Systems, Signals and Devices, SSD-10
BT - 2010 7th International Multi-Conference on Systems, Signals and Devices, SSD-10
T2 - 2010 7th International Multi-Conference on Systems, Signals and Devices, SSD-10
Y2 - 27 June 2010 through 29 June 2010
ER -