National Repository of Grey Literature 29 records found  previous11 - 20next  jump to record: Search took 0.00 seconds. 
Identification of 3D objects for Robotic Applications
Hujňák, Jaroslav ; Návrat, Aleš (referee) ; Matoušek, Radomil (advisor)
This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Conformal Geometric Algebra (CGA) is proposed and tested for identification of spheres in Pointclouds created with 3D scanner. The speed, precision and scalability of this method is compared to traditional descriptors based method. It is proved that CGA maintains the same precision as the traditional method in much shorter time. The CGA based approach seems promising for the use in the future of robotic 3D vision for identification and localization of spheres.
Big Block File System
Rajman, Jakub ; Lampa, Petr (referee) ; Čejka, Rudolf (advisor)
Master's thesis treats of implementation of big block file system for FreeBSD operating system. The introduction of this document is dedicated to theoretically analysis, which is oriented on history, sense and usage of file systems. Next chapter describes the architecture of UFS/FFS file system. Implementation part starts with introducing design of new file system, which was isnpired by MSDOSFS file system. Last part of this thesis presents implementation of file system with great emphasis on problems, which can happen during programming.
Image Retrieval Based on Color Histograms
Sailer, Zbyněk ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
This thesis deals with description of existing methods of image retrieval. It contains set of methods for image description, coding of global and local descriptor (SIFT, etc.) and describes method of effective searching in multidimensional space (LSH). It continues with proposal and testing of three global descriptors using color histograms, histogram of gradients and the combination of both. The last part deals with similar image retrieval using proposed descriptors and the indexing method LSH and compares the results with the existing method. Product of this work is an experimental application which demonstrates the proposed solution.
Application for a Demonstration of the Histogram of Oriented Gradients Method for Object Detection
Mrázek, Zdeněk ; Dvořák, Pavel (referee) ; Říha, Kamil (advisor)
The target of this thesis is summarize the theory of method Histogram of oriented gradients and process algorithm for demonstration and visualization HOG descriptor, train SVM algorithm and subsequent detection of the object. For the work environment was selected MS Visual Studio 2012 using the object-oriented C++ language with using OpenCV library.
Identification of 3D objects for Robotic Applications
Hujňák, Jaroslav ; Návrat, Aleš (referee) ; Matoušek, Radomil (advisor)
This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Conformal Geometric Algebra (CGA) is proposed and tested for identification of spheres in Pointclouds created with 3D scanner. The speed, precision and scalability of this method is compared to traditional descriptors based method. It is proved that CGA maintains the same precision as the traditional method in much shorter time. The CGA based approach seems promising for the use in the future of robotic 3D vision for identification and localization of spheres.
Utilisation of shape analysis methods for object classification in medical images
Karela, Jiří ; Odstrčilík, Jan (referee) ; Chmelík, Jiří (advisor)
Bachelor thesis deals with problems of shape analysis. It describes some procedures and methods related to this kind of analysis. The thesis is divided into theoretical part, practical part and conclusion. In the theoretical part we describe in greater detail some methods, with the help of which the practical part was solved. But other theories related to the topic are also described. The practical part then follows the given theory and solves the problem of shape analysis due to the knowledge gained in the theory. The algorithm is tested on medical data from CT of vertebrae. The conclusion serves as a summary and evaluation of the shape analysis solution. It also serves as a reflection on the realization of our method, ie how our solution and result could be improved.
Content-Based Searching for Similar CT Scans
Hošek, Pavel ; Klíma, Ondřej (referee) ; Španěl, Michal (advisor)
The work deals with the design and implementation of tool for Content-Based Searching for similar CT scans. This work also deals with comparision of individual methods for searching for similar CT scans. Third-party libraries are used to extract individual descriptors. Furthermore, this work  presents results of the implemented  searching tool and also presents results of the comparision of individual methods for Content-Based Searching for similar CT scans and suggests possible improvements.
Bin Picking and Robotic Vision
Múčka, Jan ; Parák, Roman (referee) ; Matoušek, Radomil (advisor)
The aim of this master’s thesis is to describe the Robotic Vision for Bin Picking usage and creating an application for the realization of this task. This application will be able to distinguish several objects based on data from a camera with deep perception and should find the location of object, recognize it and determine its location and orientation. Bin Picking is one of the biggest challenges in today's automation.
Embedded display recognition
Novotný, Václav ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
This master thesis deals with usage of machine learning methods in computer vision for classification of unknown images. The first part contains research of available machine learning methods, their limitations and also their suitability for this task. The second part describes the processes of creating training and testing gallery. In the practical part, the solution for the problem is proposed and later realised and implemented. Proper testing and evaluation of resulting system is conducted.
Image data shape analysis
Kylián, Jakub ; Harabiš, Vratislav (referee) ; Chmelík, Jiří (advisor)
Bachelor thesis is focused on shape analysis of image data. This thesis clarifies usage of methods, techniques and procedures that lead to such analysis. The content of this thesis is divided into three chapters – theory, analysis solution and conclusion. In the chapter theory, methods and general theory of the topic are introduced. The rule is, that every method used in subsequent sections is explained in detail, but this doesn't necessarily mean that it applies in reverse. Next chapter, following up the theory section is analysis solution. In this section, a problem is presented. This problem is then, with knowledge presented in chapter theory solved. The solution consists of many processes and preparations that are also explained in detail in this chapter.

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