TY - GEN
T1 - Role of resolution in noisy pattern matching
AU - James, Alex Pappachen
AU - Dimitrijev, Sima
PY - 2010/4/14
Y1 - 2010/4/14
N2 - Natural variability and limited number of library instances influence the matching performance and robustness of automatic pattern analysis methods. A data representation method that utilizes the local structures from the original data with a focus to effectively use the full resolution of data vector is presented. Using plant and face database, the issue of resolution, limitations in the number of library instances, and variability were addressed. Interestingly, the method shows an automatic matching improvement of over 22% under noisy and difficult matching condition.
AB - Natural variability and limited number of library instances influence the matching performance and robustness of automatic pattern analysis methods. A data representation method that utilizes the local structures from the original data with a focus to effectively use the full resolution of data vector is presented. Using plant and face database, the issue of resolution, limitations in the number of library instances, and variability were addressed. Interestingly, the method shows an automatic matching improvement of over 22% under noisy and difficult matching condition.
KW - Filtering
KW - Gaussian noise
UR - http://www.scopus.com/inward/record.url?scp=77950563358&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950563358&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12214-9-21
DO - 10.1007/978-3-642-12214-9-21
M3 - Conference contribution
AN - SCOPUS:77950563358
SN - 9783642122132
T3 - Communications in Computer and Information Science
SP - 120
EP - 124
BT - Information Processing and Management
A2 - Das, Vinu
A2 - Vijayakumar, R
A2 - Debnath, Narayan
A2 - Janahanlal, Stephen
A2 - Meghanathan, Natarajan
A2 - Sankaranarayanan, Suresh
A2 - Thankachan, P.M.
A2 - Gaol, Ford Lumban
A2 - Thankachan, Nessy
ER -