Praveen Sankaran, Ph.D.
Affiliations: | 2009 | Old Dominion University, Norfolk, VA, United States |
Area:
Electronics and Electrical Engineering, Computer Engineering, Computer ScienceGoogle:
"Praveen Sankaran"Parents
Sign in to add mentorK Vijayan Asari | grad student | 2009 | Old Dominion University | |
(A subspace projection methodology for nonlinear manifold based face recognition.) |
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Publications
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Srinath NGSS, Joseph AZ, Umamaheswaran S, et al. (2020) NITCAD - Developing an object detection, classification and stereo vision dataset for autonomous navigation in Indian roads Procedia Computer Science. 171: 207-216 |
Rashmi M, Sankaran P. (2019) Optimal Landmark Point Selection Using Clustering for Manifold Modeling and Data Classification Journal of Classification. 36: 94-112 |
Nair D, Sankaran P. (2018) Color image dehazing using surround filter and dark channel prior Journal of Visual Communication and Image Representation. 50: 9-15 |
Faziludeen S, Sankaran P. (2016) ECG Beat Classification Using Evidential K -Nearest Neighbours☆ Procedia Computer Science. 89: 499-505 |
Nagar RK, Manazhy R, Sankaran P. (2016) Sparse Manifold Discriminant Embedding for Face Recognition Procedia Computer Science. 89: 743-748 |
Hari CV, Sankaran P. (2016) A clustered locally linear approach on face manifolds for pose estimation Pattern Analysis and Applications. 1-10 |
Parvathi VS, Satheesh S, Sankaran P. (2012) Modular approach on kernel principal component analysis for enhanced face recognition 2012 Annual Ieee India Conference, Indicon 2012. 885-890 |
Foytik J, Sankaran P, Asari V. (2011) Tracking and recognizing multiple faces using Kalman filter and ModularPCA Procedia Computer Science. 6: 256-261 |
Sankaran P, Asari VK. (2009) Nonlinear manifold based discriminant analysis for face recognition Proceedings of Spie - the International Society For Optical Engineering. 7245 |
Sankaran P, Gottumukkal R, Asari VK. (2007) An automated feature-localisation algorithm for a feature-specific modular approach for face recognition International Journal of Intelligent Systems Technologies and Applications. 2: 329-344 |