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Deep Learning for Facial Recognition in Video
Mihalčin, Tomáš ; Sochor, Jakub (referee) ; Hradiš, Michal (advisor)
This diploma thesis focuses on a face recognition from a video, specifically how to aggregate feature vectors into a single discriminatory vector also called a template. It examines the issue of the extremely angled faces with respect to the accuracy of the verification. Also compares the relationship between templates made from vectors extracted from video frames and vectors from photos. Suggested hypothesis is tested by two deep convolutional neural networks, namely the well-known VGG-16 network model and a model called Fingera provided by company Innovatrics. Several experiments were carried out in the course of the work and the results of which confirm the success of proposed technique. As an accuracy metric was chosen the ROC curve. For work with neural networks was used framework Caffe.
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Modern Technologies in OLAP
Janoška, Daniel ; Kužela, Alois (referee) ; Hruška, Tomáš (advisor)
OLAP systems are sought-after tool which are deployed in companies and industry environment. The fundamental task of these systems are support of executive management. This work is dealing with OLAP analysis and its capabilities. It also discussed FLEX and AIR technology, their base principles and functions.
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Deep Learning for Facial Recognition in Video
Mihalčin, Tomáš ; Sochor, Jakub (referee) ; Hradiš, Michal (advisor)
This diploma thesis focuses on a face recognition from a video, specifically how to aggregate feature vectors into a single discriminatory vector also called a template. It examines the issue of the extremely angled faces with respect to the accuracy of the verification. Also compares the relationship between templates made from vectors extracted from video frames and vectors from photos. Suggested hypothesis is tested by two deep convolutional neural networks, namely the well-known VGG-16 network model and a model called Fingera provided by company Innovatrics. Several experiments were carried out in the course of the work and the results of which confirm the success of proposed technique. As an accuracy metric was chosen the ROC curve. For work with neural networks was used framework Caffe.
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Modern Technologies in OLAP
Janoška, Daniel ; Kužela, Alois (referee) ; Hruška, Tomáš (advisor)
OLAP systems are sought-after tool which are deployed in companies and industry environment. The fundamental task of these systems are support of executive management. This work is dealing with OLAP analysis and its capabilities. It also discussed FLEX and AIR technology, their base principles and functions.
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