Login / Signup
Human age estimation using Multi-Frequency Biologically Inspired Features (MF-BIF).
Raphael Angulu
Jules-Raymond Tapamo
Aderemi Oluyinka Adewumi
Published in:
AFRICON (2017)
Keyphrases
</>
biologically inspired
receptive fields
feature vectors
neural network
feature extraction
biologically plausible
data sets
low level
image features
human age estimation
learning algorithm
image processing
feature space
spatio temporal
support vector machine