Encoding of facial images into illumination-invariant spike trains
Some previous work of several researchers have mathematically proven the advantage of Spiking Neural Network (SNN) in term of computational power and one of the neuron model that shows promising result is Spike response Model (SRM). Facial recognition is one of the tasks that can benefit from t...
Main Authors: | Hafiz , Fadhlan, Shafie, Amir Akramin |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/27222/ http://irep.iium.edu.my/27222/ http://irep.iium.edu.my/27222/1/06271167.pdf |
Similar Items
-
Human identification system based on moment invariant features
by: Mohd Ibrahim, Azhar, et al.
Published: (2012) -
Face recognition from single sample per person by learning of generic discriminant vectors
by: Hafiz, Fadhlan, et al.
Published: (2012) -
Development of low bit rate speech encoder based on vector quantization and compressive sensing
by: Kassim, Liban A. S., et al.
Published: (2012) -
Multi-stereo camera system to enhance the position accuracy of image-guided surgery markers
by: Elsamnah, Fahed, et al.
Published: (2014) -
Recognizing faces with normalized local Gabor features and Spiking Neuron Patterns
by: Kamaruzaman, Fadhlan, et al.
Published: (2016)