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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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Semantic Segmentation in Mountainous Environment
Pelikán, Jakub ; Čadík, Martin (referee) ; Brejcha, Jan (advisor)
Semantic segmentation is one of classic computer vision problems and strong tool for machine processing and understanding of the scene. In this thesis we use semantic segmentation in mountainous environment. The main motivation of this work is to use semantic segmentation for automatic location of geographic position, where the picture was taken. In this thesis we evaluated actual methods of semantic segmentation and we chose three of them that are appropriate for adapting to mountainous environment. We split the dataset with mountainous environment into validation, train and test sets to use for training of chosen semantic segmentation methods. We trained models from chosen methods on mountainous data. We let segments from the best trained models get evaluated in electronic survey by respondents and we evaluated these segments in process of camera orientation estimation. We showed that chosen methods of semantic segmentation are possible to use in mountainous environment. Our models are trained on 11, 5 or 4 mountainous classes and the best of them achieve on 4 class mean IU 57.4%. Models are usable in practise. We show it by their deployment as a part of camera orientation estimation process.
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Registration of Photos to 3D Model
Deák, Jaromír ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
This work refers existing solutions and options for the task registration of photos to 3D model based on the previous knowledge of the geographic position of the camera. The contribution of the work are new ways and possibilities of the solution with the usage of graph algorithms. In this area, the work interests are useful points of interest detection in input data, a construction of graphs and graph matching possibilities.
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A Set of Web Tools for Geo-Location System
Bečka, Petr ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
The main goal of the thesis is to develop a set of web tools to visualize results and exploit functionality of geo-location system LOCATE. Obtained informations could be showen in web map and digital terrain model. For interaction with user is prepared interface to upload photos. Furthermore was developed a method, witch allows to customize appearance and functionality of visualization means.
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Web Application for Panorama Search
Pospíšil, Miroslav ; Čadík, Martin (referee) ; Brejcha, Jan (advisor)
The aim of my bachelor thesis is to create a web front-end, which provides mountain localisation of images. Images can be uploaded directly to the application or you can use images from the Flickr web service. Flickr is integrated in the application by Flickr API. Localisation of selected image is based on mountain horizon. User-aided semi-automatic horizon detection is approached by special user interface utilising the GrabCut algorithm for segmentation. Localisation is provided by server back-end which is connected and integrated with the designed application. Results for the detected horizon are visualised in a form of aligned horizon curves with position displayed using the Google Maps API. The final fully functional application was tested by moderated usability test with users. Application in this test performed well. Despite several shortcomings detected by the test the application was easy to use.
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Mobile Application for Image Annotation
Hřebíček, Pavel ; Čadík, Martin (referee) ; Brejcha, Jan (advisor)
This thesis deals with a topic of creation of cross-platform mobile application for image annotation. The theoretical part of my thesis describes the specification of the application both in terms of design and functionality. The practical part discusses the actual implementation of the application from the technologies used through the application architecture to implementation of the tools and functions themselves. For the practical part of this thesis was used the Qt framework, which is based on the C++ language. It was also necessary to become familiar with the issues of UX Design and Usability testing.
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Color-to-Grayscale Conversions
Pospíšil, Petr ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
Grayscale pictures were never replaced by color ones and will probably never be, because they are indispensable in many areas. In this thesis was chosen three methods for color-to-gray conversion. These methods was implemented afterwards. Within this thesis was also made test set of 24 HDR pictures, which was together with existing set of 24 LDR pictures used to test and evaluate features of implemented methods. These methods were also compared from the point of accurancy and preference using questionnaire.
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Web Tool for Pairwise Testing of Images
Ševčík, Vít ; Brejcha, Jan (referee) ; Čadík, Martin (advisor)
The goal of this thesis is to create an internet application for experimental evaluation of multimedia data (image and video) by pair testing. The thesis provides description of psychophysical methods for experiments, problems and solutions to displaying multimedia in web browsers, parameters of application tests, and its administration interface. The work is concluded by description of specific psychophysical experiment which was performed using presented application.
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Altitude Estimation from an Image
Vašíček, Jan ; Kolář, Martin (referee) ; Čadík, Martin (advisor)
This thesis is concerned with the automatic altitude estimation from a single landscape photograph. I solved this task using convolutional neural networks. There was no suitable training dataset available having information about image altitude, thus I had to create a new one. To estimate human performance in altitude estimation task, an experiment was conducted counting 100 subjects. The goal of this experiment was to measure the accuracy of the human estimate of camera altitude from an image. The measured average estimation error of subjects was 879 m. An automatic system based on convolutional neural networks outperforms humans with an average elevation error 712 m. The proposed system can be used in more complex scenario like the visual camera geo-localization.
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Panoramic Photo Creation
Cacek, Pavel ; Čadík, Martin (referee) ; Behúň, Kamil (advisor)
This thesis deals with issues automatic composing panoramic photos from individual photos. Gradually examines the various steps of algorithms and methods used in them, which are used in creating panoramas. It also focuses on the design of the own system based on methods discussed to construct panoramas. This system is implemented using OpenCV library and it is created also a graphical interface using a Qt library. Finally, are in this thesis evaluated outcomes of this designed and implemented system on available datasets.
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