Enhance face recognition accuracy by statistical regularization & dimensionality reduction
Face recognition has been a very popular research for several years with the increasing demand for a fast, accurate & robust classification engine. Several face recognition technologies with improved modifications have been developed. However, the computational burden of facial image with high d...
Saved in:
Main Author: | Phoo, Ngon Thin |
---|---|
Other Authors: | Jiang Xudong |
Format: | Final Year Project |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/65810 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Face recognition by statistical regularization and dimensionality reduction
by: Fu, Lemeng
Published: (2014) -
Face recognition by statistical regularization and dimensionality reduction
by: Ong, Alan Kuan Hai.
Published: (2013) -
Feature regularization and extraction in eigenspace for face recognition
by: Bappaditya Mandal
Published: (2008) -
Statistical modelling of electricity price in Singapore power market
by: Tan, Eugene Ye Wu.
Published: (2010) -
Robust face alignment and partial face recognition
by: Weng, Renliang
Published: (2016)