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Application for Recognition of Hematoma on Skin
Mihalčin, Tomáš ; Košík, Michal (referee) ; Drahanský, Martin (advisor)
This bachelor thesis contains a theoretical basic that introduces problem of skin hematoma formation, image segmentation using the OpenCV library and platform operating system Android. This thesis describes the design and implementation of application for recognition of hematoma on the skin. The application is developed for tablets running operation system Android and it will be used for medical purposes and to facilitate the work of medical.
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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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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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Web Frameworks Comparison Concerning the Efficiency of Development
Mihalčin, Tomáš ; Galamboš, Leo (referee) ; Bureš, Tomáš (advisor)
Almost all enterprise web projects today are implemented in some kind of web framework. The frameworks differ in philosophy, features and support for other popular frameworks and technologies. The aim of this thesis was to compare Struts 2, Tapestry and Spring WebFlow frameworks and give the application developers and architects an overview about the implementation process and complexity of each framework to help them decide, which framework to choose for their projects. The thesis defines criteria for the frameworks comparison. The comparison is done on a case study which has been implemented in Struts 2 and Tapestry and research on the integration possibilities of Spring WebFlow with Struts 2 and Tapestry has been done. The implementation process has been described in detail with all the problems that occurred during the implementation phase. Finally, the measurements have been made according to the defined criteria and final recommendations have been proposed.
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Application for Recognition of Hematoma on Skin
Mihalčin, Tomáš ; Košík, Michal (referee) ; Drahanský, Martin (advisor)
This bachelor thesis contains a theoretical basic that introduces problem of skin hematoma formation, image segmentation using the OpenCV library and platform operating system Android. This thesis describes the design and implementation of application for recognition of hematoma on the skin. The application is developed for tablets running operation system Android and it will be used for medical purposes and to facilitate the work of medical.
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