In this paper we present architectures based on deep neural nets for expression recognition
in videos, which are invariant to local scaling. We amalgamate autoencoder and predictor …

Face recognition under varying illumination is one of the challenging problems in real-time
applications. Numerous methods have been developed by the research community to …

The paper presents a back propagation based artificial neural network learning algorithm for
recognizing human faces. We have worked on eight features for recognition. A facial …

Hidden Markov model (HMM) is a promising method that works well for images with
variations in lighting, facial expression, and orientation. Face recognition draws attention as …

Biometric recognition has gained popularity in recent years. This paper proposes using
BPNN for face recognition, a biometric recognition technique, due to its wide range of face …

The continuous growth of insecurity issues around the world has further increased public
interest in biometric surveillance systems. Face recognition has proven to be definitive in this …

This paper aims to present an inventive technique to formulate a face detection system using
the level set evolution devoid of re-initialization process via reaction diffusion method. Face …

Η εργασία πραγματεύεται την υλοποίηση μιας κάμερας με το Raspberry Pi, η οποία εντοπίζει
και αναγνωρίζει τα ανθρώπινα πρόσωπα και έπειτα θα ειδοποιεί πιθανούς χρήστες του …

Face recognition like other biometrics systems involves some basic processes, which
includes biometric feature acquisition/enrollment which in this case would be faces of …

Nell'ambito della robotica si è sempre cercato di costruire degli agenti autonomi capaci di
imitare le caratteristiche dell'essere umano. Partendo da architetture nelle quali il robot era …