|
|
Real-time Facial Feature Tracking
Peloušek, Jan ; Mekyska, Jiří (referee) ; Přinosil, Jiří (advisor)
This thesis considers the problematic of the object recognition in a digital picture, particularly about the human face recognition and its components. There are described the basics of the computer vision, the object detector Viola-Jones, its computer realization with help of the OpenCV libraries and the test results. This thesis also describes the accurate system of the facial features detection per the algorithm of the Active Shape Models and also related mechanism of the classifier training, including the software implementation.
|
|
|
Minidarpa robot - visual navigation
Groulík, Tomáš ; Burian, František (referee) ; Kopečný, Lukáš (advisor)
Master`s thesis is focused on mobile robotics and computer vision. There is briefly introduced a library of functions for image processing OpenCV. Then it deals with image processing and navigation of mobile robots using image data. There are described segmentation methods and methods for navigating through feature points.
|
|
|
Automatic Verification of Product Assembling Correctness
Doležal, Petr ; Šmirg, Ondřej (referee) ; Říha, Kamil (advisor)
This diploma evaluates methods for verification of key characteristics of a product using digital image processing techniques. At first, reasons why this work has been done are described followed by a list of all methods that were used in this diploma such as Hough Circle Transform and Flood Fill (Seed Fill) algorithm. Also, a new approach how to compensate non regularly illuminated scene, which is based on surface modeling with Bézier Surfaces, was developed. Moreover, the algorithm was implemented in the C++ programming language and some of the parts were also simulated using the MATLAB environment. The algorithm was evaluated based on the percentage level of recognition of the required parameters. Efficiency of the implementation is also important for the author.
|
|
|
Usage of advanced signal processing techniques for motor traffic safety enhancement
Beneš, Radek ; Říha, Kamil (referee) ; Atassi, Hicham (advisor)
This diploma thesis deals with the issue of the recognition of road signs in the video sequence. Such systems increase the traffic safety and are implemented by major car factories in the manufactured cars (Opel, BMW). First, the motivation for the utilisation of these systems is presented, followed by the survey of the current state of the art methods. Finally, a specific road-sign detection method is chosen and described in detail. The method uses advanced techniques of signal processing. Segmentation method in color space is used for sign detection and subsequent classification is accomplished by linear classification with optional use of PCA method. In addition, the method contains the prediction of road sign positions based on Kalman filtering. Implemented system yields relatively accurate results and overall analysis and discussion is enclosed.
|
|
|
Face recognitions in images
Krhut, Miloš ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
The master thesis deals with the topic of detecting faces in digital images. There are generally described and classified the most frequently used methods and discussed their advantages and disadvantages. More detailed is described skin color detection, eye and mouth detection and are teoretically described machine learning algorithms and detection based on Haar-classifiers. The work aims to implementation of these methods in the OpenCV library, it refers to practical application of them a finally compares different provided trained files.
|
|
|
3D data processing
Babinec, Tomáš ; Janáková, Ilona (referee) ; Richter, Miloslav (advisor)
The thesis falls within the field of computer vision. It describes the development of the software environment for 3D data processing. The thesis deals with the design of C++ classes suitable for scene description and representation of bonding conditions between scenes elements. There is also discussed the solution of camera calibration, geometric distortion identification and 3D coordinates reconstruction. The solving of these tasks is augmented with planarity and linearity conditions, which support projection equations and augment the computational ability of the environment.
|
|
|
Object route location
Julínek, Zbyněk ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
This project describes image processing, characterization of scenes, especialy differences of screen captures and method motion objects there. Practical part defines the program, which is finding and tracking similar objects on video files or series of images. The program also computes predictions of next location for each object. This thesis is working with only synthesis scenes. I have chosen this way, because we can understand the synthesis scenes as a simplification of world. If solution of tracking and prediction on this scenes are suscesfull, then could be possible resolve also complicated problems.
|
|
|
Image object detection
Pluskal, Richard ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The thesis deals with design of a program for entering various types of geometric objects in an image for the purpose of their further processing. The program should also contain algorithms to ease object entering (e.g. refining manually entered object position). In the first part there is a brief description of the computer vision and its basic methods used in the work as well as introduction of the OpenCV image processing library. The following part describes three types of geometric primitives that are implemented for now. Because the output of the program is in universal XML format, there is short chapter about the XML. After that, there are summarized some methods for searching of parametric description of geometric primitives in an image. The final chapter describes the proposed system and evaluates possibility and suitability of its usage for various types of images.
|
|
|
Possibilities of image comparison in mobile applications
Jírů, Michaela ; Pavlíčková, Jarmila (advisor) ; Šedivá, Zuzana (referee)
This thesis is about methods of image comparison. Goal is to create a mobile app that allows user to compare images in real time. In the first part there is a theoretical basis, in particular image similarity algorithms. The practical part contains the app implementation including use case analysis, user interface design and functional requirements. It is followed by source code samples a description of frameworks used. Last part is made of testing the implemented algorithms regarding speed and precision.
|
|
|
Využití GPU výpočtů pro rozpoznání dopravních značek
Zídek, Karel
The thesis deals with the problem of GPU acceleration of algorithms for traffic sign recognition. Theoretical part of the thesis outlines methods for object detection with emphasis on the traffic sign detection problem. Further, it provides comparison of two well known tools for programming on the GPU: CUDA and OpenCL. On the basis of the review, an architecture of own solution is proposed. Finally, the thesis contains description of the implementation as well as evaluation of the results.
|
guest ::
