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Creation of the Graphic Library for VST Plug-Ins
Dufka, Filip ; Kříž, Petr (referee) ; Přikryl, Lubor (advisor)
Master‘s thesis covers use of graphical user interface in audio plug-ins. In first part structure and rendering techniques of audio plug-ins graphical libraries are described. Their efficiency and their way of memory utilization is questioned. Next part puts these techniques in comparison with the state of the art methods used in computer graphics and gaming industry. Their possible use in audio graphical interafaces is analyzed. In the following part, thesis finds solutions to uneffective methods in frequently used situations by presenting deferred shading into audio parameter editor with the goal of photorealistic rendering. Second introduced technique of „Knob Normal Maps“ reduces number of images needed for rendering of turning knob from hundereds to six with comparable results. Goal of diploma thesis was to create graphical library. Graphical library with name RealBox was created, and introduced techniques are the core features. Library reduces work needed to achieve graphical user interfaces for 2D and 3D cases of use. Full class and method documentation for RealBox library was assembled. Library was tested during creation of three VST plugins, with different approaches and emphasis on quick work and fine rendering. Graphical library offers new, faster way of creating audio plug-in interfaces.
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Optimization Rewarding Shareholders Ltd
Hlavatá, Yvona ; Kříž, Petr (referee) ; Kopřiva, Jan (advisor)
This Bachelor thesis is focusing on possible forms of remunerating members of a limited liability company. It analyses the existing way of remunerating a member of a particular company and by means of created models of remuneration it is looking for the most optimal combination of paying out a share in profits, remuneration on the basis of the commercial-law relationship and salary on the basis of the labour-law relationship from the point of view of the tax burden, including the social and health insurance payments by this company.
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Online vibration diagnostics of the DATRON milling machine spindle
Kříž, Petr ; Hammer, Miloš (referee) ; Jankových, Róbert (advisor)
This master’s thesis deals with online vibration diagnostics of the milling machine spindle. It is aimed at the implementation of the complex online vibration diagnostics system to chosen milling machine, the suggestion of the vibration measurement system and the suggestion of the evaluation of changes of the technical condition of this milling machine spindle. The description of the vibration diagnostics, the description of the milling machine spindle construction and function and the suggestions for the practical application of vibration diagnostics are also parts of this thesis.
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4K real-time video encoding using NVENC technology
Buchta, Martin ; Přinosil, Jiří (referee) ; Kříž, Petr (advisor)
Diploma thesis is focused on real-time 4K video encoding using NVENC technology. First chapter describes the most used video codecs H.264 and HEVC. There is an explanation of the principle of graphic cards and their programmable units. Analysis of the solution of open source Video Codec SDK is also part of the thesis. The main focus of the thesis is an implementation of an application which can handle 4K video encoding from multiple cameras in real time. Performance and qualitative tests were performed for application. Results of these tests were analyzed and discussed.
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Detection of changes in digital images
Dorazil, Jan ; Kříž, Petr (referee) ; Říha, Kamil (advisor)
This thesis concerns with change detection problematics in digital images captured under indoor conditions with an ordinary integrated camera in two consecutive moments. All challenges that accompany this problem will be discussed, starting with preprocessing and arriving to evaluation of the results. Currently used methods from this field are described and compared with each other such as differencing and LCP (Local Correlation Peak). A novel method, based on LTP descriptors, effectively solving this problem is proposed in this work. The proposed method is then tested on real data. The results of this tests are discussed subsequently. Besides the change detection method a method for parallax error minimization is proposed here.
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Masked face detection
Malý, Ondřej ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
The aim of this work is to study and test current methods for face detection on veiled faces and evaluate the results. In the first chapter, five selected methods are theoretically analyzed and in the second chapter the individual methods are evaluated, both for the Wider Face file and for the actual set of photos with veiled faces. Subsequently, the Dlib CNN method is improved for better detection of veiled faces and reprogrammed to detect the degree of veil from the tested image
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Deep learning based face recognition in real conditions
Horňáková, Veronika ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This bachelor thesis explores the area of face recognition using deep learning technique. Face recognition is used for two main reasons: verification and identification. In this thesis we describe the techniques of deep learning, mostly the convolutional neural networks, which are the most significant method for processing images - detection, classification and segmentation of the image. The process of face recognition is divided into four main steps: face detection, face selection, face extraction and face classification. We chosen three of the existing programs for face recognition (OpenFace, FaceNet and Face_Recognition), which are described in this thesis, in particular the principle of the human face recognition. Thanks to the tests with the data set of Labeled Faces in the Wild (LFW) we could specify the accuracy and the time requirement of each application. Testing of FaceNet and Face_Recognition ran on real data with face detection in video with complicated conditions. The test compares two images and tries to determine if is the same person. The test results are show in graph and table.
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Recognition of persons clothing in the video signal
Mlýnková, Barbora ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
This paper is dealing with the detection clothes characteristics in the picture, for the use of person identification. These characteristics are described and categorized. It also deals with the design of the database structure, which works with masks and categories of characteristics for their processing. This work uses haar cascades to detect face and to determine the position of clothing for the purpose of color detection
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