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Face detection in image
Pospíšil, Lukáš ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
The main puprose of this paper is to introduce some of algorithms used in face detection in images. This paper focuses on face detection by using a skin-color based segmentation that is computed in three color spectrums (RGB,YCbCr and HSV). This paper also includes software for face detection in pictures and videos.
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object matching
Mišta, Petr ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
Detection of objects based on color is not commonly used method of computer vision. There are many methods thats deals with the detection of significant points, but the color information has been omitted. The goal of this thesis is to design method of the detection significant color image areas and these areas match up with areas detected in another image. I analyzed features of detectors required to identify the reciprocal correspondence of images, defined the color significance concept, described basic color models and their properties, and a design of statistically compiled data - based method was described. Algorithms for the detection of color use color models RGB and HSV. Correspondence of areas detected in different images is performedy Kohonen neural network. The first input vector can teach Kohonen neural network and the second vector is classified by this network. To remove erroneous classifications RANSAC method is used. As a result, the method can be used for basic and rapid determination of correspondence between images, or to speed up commonly used methods for detection of significant points. At the end of the thesis are presented programs, showing functionality and options of design methods. The designed algorithms have been developed in MATLAB.
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Lossless Image Compression
Komjáthy, Gergely ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis deals with lossless image compression. In this paper are shown some colour models, which can be used for lossless image compression and formulas how to convert them to RGB and vica versa. You can learn predictors, how they work and discription of some of them. There is described the function of arithmetic coder, PPM coder and a brief description of Huffman coding.
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Light chromaticity sensor
Rejthar, Martin ; Boušek, Jaroslav (referee) ; Šteffan, Pavel (advisor)
Thesis is aimed on problematics and analysis of colorimetry, as an instrument of exploration of light and its characteristics. Research is made to find plausible methods of measurement and comparing light. First part is focused on theory, to discuss basic physical principles connected to lighting and colorimetry. Possible applications of these theoretical knowledge during the realization of the portable meter are studied. Next part speaks on construction and requirements on such a device and processing of results. Device is later assembled, and the basic measurements are performed.
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Lossless Image Compression
Vondrášek, Petr ; Polok, Lukáš (referee) ; Bařina, David (advisor)
The aim of this master's thesis was to design, develop and test a method for lossless image compression. The theoretical part includes a description of selected exiting methods such as RLE, MTF, adaptive arithmetic coding, color models used in LOCO-I and JPEG 2000, predictors MED, GAP and laplacian pyramid. The conclusion includes a comparison of various combinations of chosen approaches and overall efficiency compared with PNG and JPEG-LS.
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Impact of color models on performance of convolutional neural networks
Šimunský, Martin ; Doležel, Petr (referee) ; Škrabánek, Pavel (advisor)
Current knowledge about impact of colour models on performance of convolutional neural network is investigated in the first part of this thesis. The experiment based on obtained knowledge is conducted in the second part. Six colour models HSV, CIE 1931 XYZ, CIE 1976 L*a*b*, YIQ a YCbCr and deep convolutional neural network ResNet-101 are used. RGB colour model achieved the highest classification accuracy, whereas HSV color model has the lowest accuracy in this experiment.
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Color correction of 3D model based on scene knowledge and light illumination
Dočkal, Michal ; Kopečný, Lukáš (referee) ; Chromý, Adam (advisor)
This thesis focus is on the design and verification of improvements for the RoScan robotic system texture module. RoScan is a robotic scanner for scanning and diagnosing the human body. In this thesis current texturing module of this system is described. Furthermore this thesis describes the theory of light, color and shading in computer graphics. Subsequently, improvments for RoScan texture module are proposed based on the said principles. The last part deals with the implementation of the test script in Matlab and the verification of the functionality of the proposed solution.
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Static image compression techniques
Jirounek, Matěj ; Šmirg, Ondřej (referee) ; Krajsa, Ondřej (advisor)
Bachelor’s thesis dissert on nowadays used compression technologies static image, about their keystones, advantages and disadvantages in field of application and their reciprocal comparison. Work is divided to the seven capitols, second of which handles indicative allocation data compression, third about lossless compression and their main representative and fourth chapter is about less compression picture with her advantages and disadvantages as well as about colour models. In fifth chapter there are summarized used criteria for classification picture and in sixth chapter is shownd implementation programme in environment MATLAB.
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Colorimeter
Škoda, Pavel ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
This thesis deals with the analysis of the color parameters for their subsequent use in the design of the device, which will be used to measure their stability in continuous production. The theoretical part defines the basic concepts and knowledge needed to understand the problems. In addition, there are described individual components and sensors suitable for color measurement. The practical part deals mainly with the descrip- tion of the construction of the colorimeter, its individual parts and the creation of the control program. At the end, there are results of the testing of the product and their overall assessment
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Fire Detection in Images and Video
Poledník, Tomáš ; Juránková, Markéta (referee) ; Přibyl, Bronislav (advisor)
This bachelor's thesis deals with fire detection in image and video. Attention is paid to the existing methods and known approaches to fire detection. Based on the analysis of the described methods, a fire detector, monitoring the attributes of its colour and motion, is designed, implemented and tested. The implemented detector achieves true positive detection rate of up to 90%.
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