In this thesis a novel deep learning multilayer hierarchy based methodology, named Local Binary Pattern Network (LBPNet), is proposed.

This book provides an overview of different deep learning-based methods for face recognition and related problems.

Doctoral Thesis / Dissertation from the year 2008 in the subject Computer Science - Applied, grade: 1, University of Freiburg (Lehrstuhl für Mustererkennung und Bildverarbeitung), language: English, abstract: In this work, we present the ...

... face recognition in the conditions like illumination conditions and light variations. References. 1. Gao G, Yu Y, Yang M, Huang P, Ge Q, Yue D (2020) Multi-scale patch based representation feature learning ... patterns for image-based face ...

... Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition. Computer Methods and Programs in Biomedicine, 197, 105622. doi:10.1016/j ... Facial Emotion Recognition Using Ensemble Learning.

... face recognition. 1. Sivasangari A, Ajitha P, Rajkumar I, Poonguzhali S (2019) Emotion recognition systemfor autism ... convolutional neural networks: a survey. Neural Comput Appl 32(10):2909–2923 3. Rajput P, Dubey A, Mehta R (2019) ...

We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition.

This Spotlight explains how to build an automated system for face, emotion, and pain recognition.

This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition.

... Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition. Comput. Methods Progr. Biomed. 197, 105622 (2020). https://doi.org/10.1016/j.cmpb.2020.105622. ISSN 0169-2607 19. A. Güner, Ö.F ...