Paper Info
Title
Facial Age Estimation Using Spatial Weber Local Descriptor
Abstract
This paper introduces a novel age estimation method using a new texture descriptor Weber Local Descriptor (WLD). This texture descriptor is analyzed in depth for age estimation problem. In the study, the multi-scale versions of holistic and spatial WLD (SWLD) descriptors are used to extract the age related features from normalized facial images. After finding a lower dimensional feature subspace, age estimation is performed using multiple linear regression. In addition a new approach of dividing image into regions for spatial texture extraction is proposed. Experiments on FG-NET, MORPH and PAL databases have shown that the proposed method gives better accuracy than the state of art age estimation approaches.
Year
Venue
Keywords
2016
2016 39TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)
Age estimation, Regression, Weber local descriptor
Field
DocType
Citations 
Computer vision,Histogram,Texture Descriptor,Normalization (statistics),GLOH,Pattern recognition,Subspace topology,Computer science,Local binary patterns,Feature extraction,Active appearance model,Artificial intelligence
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Asuman Günay151.77
Vasif V. Nabiyev212114.59