Thesis Details
Určení natočení hlavy na snímku neuronovou sítí
Artificial neural networks are not a novelty, but their recent rise in popularity is noticeable as well as their gain of attention from the masses. This bachelor thesis focuses on the head pose estimation in an image using the convolution neural networks. The fields of use of neural networks are vast and during last years strong enough hardware has been developed to allow us to train these networks under commonly accessible conditions. In theoretical part there are neural networks introduced with an explanation of what they are, how they work, how they are divided followed by a detailed description of convolutional neural networks. In the practical part the necessary tools used for development needed to perform experiments, such as determining appropriate configuration for neural network and optimization to get the best results possible, are described.
Face detection, Head pose, Convolution neural network, Machine learning, Artificial neural network, Neuron, Perceptron, Artificial Intelligence
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
@bachelorsthesis{FITBT22146,
author = "Luk\'{a}\v{s} Rybnik\'{a}r",
type = "Bachelor's thesis",
title = "Ur\v{c}en\'{i} nato\v{c}en\'{i} hlavy na sn\'{i}mku neuronovou s\'{i}t\'{i}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "slovak",
url = "https://www.fit.vut.cz/study/thesis/22146/"
}