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Image Completion Using Depth Maps
Valeš, Ondřej ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
The aim of this thesis is to design and implement aplication for dataset driven scene completion utilizing data from similar dataset images and test the posibility of generating data used in reconstruction directly from depth map. For scene matching in dataset novel modification of GIST descriptor including depth data is used. Furthermore, depth maps can be used to split reconstructed image into parts with similar depth, simplifying reconstruction process. Part of this thesis is also computing GIST descriptors for datset images and implementation of tools for searching datset for similar images using depth maps.
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Image Enhancement Using Depth Maps
Krbec, Jakub ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
The thesis is dealing with methods for enhance photography captured in nature usingsynthetic depth map. Depth map is obtained from digital terrain model with precision inthe order of meters. Using depth map we can eliminate undesirable effects of weather suchas fog or we can simulate depth of field based on parameters of cameras and lenses oreventually we can simulate unreachable parameters of lenses. The method for eliminatingnegative influence of atmosphere (dehaze) is implemented by combination of available depthmap and depth map estimated directly from input photo. This combination is mainly usedif available depth map is not accurate enough. The method for simulating different depth offield is implemented by convolution of circle kernel which better approximates the shape ofthe camera aperture than Gaussian kernel. Experimental results show that using syntheticdepth map we can successfully simulate small depth of field in outdoor photos and eliminateundesirable influences of atmosphere.
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Virtual Gate for Counting the Passing of Persons
Chudý, Andrej Oliver ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
The goal of this thesis is to propose a viable technique of detecting people passing through a virtual line (any opening without a turnstile or other form of the physical obstacle). Two software solutions were implemented to achieve high accuracy. First one processes 2D data output from webcam and the other one processes depth data from the 3D imaging sensor. Both software solutions were deployed and tested in a pharmaceutical storage room, where they achieved the accuracy of 98%. The software proposed in this thesis is thus reliable enough to become the basis of access control and security systems or for real-time evaluation of visitor rate statistics of commercial properties and events. The thesis also contains a comparative analysis of 3 widely used depth sensors.
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Depth map by using Kinect
Němec, Pavel ; Kaller, Ondřej (referee) ; Boleček, Libor (advisor)
Nowadays, depth maps are widely used in various branches of human activity (in building industry, medicine, mechanical engineering, robotics, show business etc.). The aim of this thesis is to get acquainted with different methods of their acquisition and with possibilities of their enhancement (e.g. reduction of noise and points of not specified depth). The main subject of this research are depth maps acquired by Kinect device.
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Robotic Shopping Cart
Krzeminský, Juraj ; Kapinus, Michal (referee) ; Materna, Zdeněk (advisor)
This Bachelor thesis deals with design and implementation of control unit for robotic shopping cart. Its main task is to follow a chosen person through a mall and serve as bag carriage. The text describes basic principles of human detection and tracking in images and also the method of capturing them with RGB-D camera kinect. Rest of this text contain detailed description of created application and implementation of used methods and algorithms.
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Calculating disparity map from color stereo images
Kulíková, Barbora ; Nováček, Petr (referee) ; Klečka, Jan (advisor)
This bachelor’s thesis deals with a creation of the depth maps. The first chapter concerns with the physiology of a human space perception and the methods of displaying the 3D content which are the topics closely related to the depth map, its creation and practical usage. Subsequently, there is a chapter focused on the description of the used methods of the image processing. The fundamental theoretical chapter deals with the methods of computing the disparity and used principles. In the practical part of the thesis an application has been made with a user interface in the Matlab environment. The application enables the user to create the disparity maps through the local and global methods. The functionalism of the application and the implementation of the methods are experimentaly verified. An experiment comparing the methods and analyzing influence of the local method parameters on the quality of the depth map has been made. The last part of the thesis was to create a simple stereopicture database.
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Advanced Rendering in OpenSceneGraph Library
Ondruška, Jiří ; Přibyl, Jaroslav (referee) ; Švub, Miroslav (advisor)
This bachelor's thesis presents OpenSceneGraph library and its use with shaders written in OpenGL Shading Language. First of all it presents the basics of GLSL. Next chapter introduces the basics of OpenSceneGraph library. Following chapters are about different shaders. First is vertex displacement mapping, followed by cartooning and the last one is water surface.
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Programmable Shaders in OpenGL
Radil, Přemek ; Havel, Jiří (referee) ; Švub, Miroslav (advisor)
OpenGL is mostly used in video games, computer aided designs, virtual reality, flight simulations or scientific visualisations. This bachelors thesis puts mind to production of shaders written in OpenGL Shading Language and their attachment to OpenGL aplications. Its objective is to describe methods of creating depth of field, glow and soft shadows effects and to provide tutorial about these methods. First chapters informs about OpenGL and associated library OpenGL Utility Toolkit and illustrates some common procedures necessary to achieve hereinbefore mentioned effects. Last chapters dwells directly on shaders creating these effects.
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Object Detection Using Kinect
Řehánek, Martin ; Hradiš, Michal (referee) ; Španěl, Michal (advisor)
With the release of the Kinect device new possibilities appeared, allowing a simple use of image depth in image processing. The aim of this thesis is to propose a method for object detection and recognition in a depth map. Well known method Bag of Words and a descriptor based on Spin Image method are used for the object recognition. The Spin Image method is one of several existing approaches to depth map which are described in this thesis. Detection of object in picture is ensured by the sliding window technique. That is improved and speeded up by utilization of the depth information.
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