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Coupling of images
Gorgol, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This master’s thesis describes the design and implementation of the application that created the basis set pieces "puzzle" according to the shape of the folded edges of the original image. This application is developed using Matlab. The work also describes how to create a database of actual pieces of the puzzle composite photo image. Closer was also focused on finding the characteristic section points, their segmentation and appropriate description. There is dismantled procedure for selecting the types of symptoms and their extraction. On the basis of suitably described pieces of segmented parts is designed and implemented the algorithm of comparing and grouping into clusters. Using the proposed method of visualization is then displayed in the resulting composite picture puzzle.
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Traffic situations model
Krampoťák, Štefan ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This master thesis deals with analyze of camera system in real traffic, using these system and realization of traffic situation model. Result of this work is fully functional model of traffic situation, which shows the capability of these camera systems in real traffic. It consists of two basic parts, the first is physical model of traffic with semaphore and second part is control program with algorithm for detection of traffic offences. The system contains speed measurement and red light violation. Model has capable of control the speed of cars, control semaphores and configure cameras.
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IR camera data processing
Malík, Dalibor ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The aim of this master’s thesis is to give information about the thermo camera measurement with error minimization. The basic concepts of thermography are explained with an implementation of postprocesing technique which uses graphically modified thermogram back projected to the scene. This is closely related to the scene design, calibration of thermal camera with projector, image rectification, thermogram processing with highlighting of interesting information and implementation of control elements as the user interface. The results obtained are analyzed and re-evaluated.
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Stereo image processing and visualisation
Karásek, Miroslav ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
This thesis deals with the processing of stereo images. It described the principles of calibration and rectification of stereo images. The thesis described several methods for finding important points. SURF method is then implemented for practical solution. Finding correspondences is realized using the methods of image processing library OpenCV. Reconstructed spatial coordinates of points and write by the format specified VRML97. Finally, there is introduced evaluated accuracy of spatial data acquisition and comparison of computational cost generated programs.
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Image processing library wrapper for Lua
Prymus, Jiří ; Dusíková, Hana (referee) ; Petyovský, Petr (advisor)
The thesis deals with OpenCV library and its implementation into scripting language Lua. The first part of the thesis concentrates on description of the course Computer vision MPOV and description of mathematical basics needed for further understandings. The second part describes OpenCV library and its potential usage in the MPOV. Next chapter examines the programming scripting language Lua. The description of the implementation of binding the OpenCV library to Lua language along with its overall functionality is included in the practical part of the thesis. The use of LuaCV is more comfortable thanks to Open Source projects for cross-platform compilation and distribution. Part of the thesis is also generator of Latex documentation for LuaCV binding. The last chapter deals with testing LuaCV in course MPOV and analysis of criticism from students.
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Paralelized image processing library
Fuksa, Tomáš ; Macho, Tomáš (referee) ; Petyovský, Petr (advisor)
This work deals with parallel computing on modern processors - multi-core CPU and GPU. The goal is to learn about computing on this devices suitable for parallelization, define their advantages and disadvantages, test their properties in examples and select appropriate tools to implement a library for parallel image processing. This library is going to be used for the vanishing point estimation in the path finding mobile robot.
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Optical processing of questionnaires
Nožka, Tomáš ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This master thesis deals with the principles of form design, form printing and form processing. Three different types of forms and applications for their detection are created with the reference of these principles. This application provides to create a new type of form and to print out a form. The application itself is implemented in C++ with the use of OpenCV library. This work describes the classification methods of direction finding marks, identification numbers and submission numbers, bar codes EAN-13, page numbers, answer fields and single answers. The classification of all the handwritten numbers is implemented by neural nets.
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Online 3D reconstruction
Bastl, Jiří ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This thesis describes reconstruction of scene which is scan trough two cameras. There are described methods of calibration of cameras system, methods for finding the corners and methods for finding correspondences. Corners are searched by FAST detector and for search correspondences are used normalized cross correlation. In the framework of 3D reconstruction is implemented rectification. The final shape is saved to VRML format. In the thesis are described parallelization options. The calculation of the correlation is optimized for multiprocessors CPU and there are designed implementations of algorithm to GPU and FPGA too.
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Hand gesticulation recognition in image
Mráz, Stanislav ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
This master’s thesis is dealing with recognition of an easy static gestures in order to computer controlling. First part of this work is attended to the theoretical review of methods used to hand segmentation from the image. Next methods for hang gesture classification are described. The second part of this work is devoted to choice of suitable method for hand segmentation based on skin color and movement. Methods for hand gesture classification are described in next part. Last part of this work is devoted to description of proposed system.
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