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Stitching of Retinal Images
Hladyuk, Vadym ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
The purpose of this work is to create a complete picture of the retina, by stitching together a number of partial photos. Since there is no working solution which would be able to capture the entire retina in one picture, this is an important problem to cover. The results will be demonstrated at the end of the text. The problem of stitching partial pictures together was solved by extracting vessels in retinal images, finding key points in images, finding common key points, calculating a transformation matrix and transforming one image into another. After a consultation with an ophthalmologist I was able to define steps which will allow me to further improve the work, which are analyzed in texts. The thesis will provide the reader knowledge about the eye apparatus. It will also introduce field of color models, image formats, algorithms for searching for key points, the transformation of the images themselves and it will also provide a possible way to compose retinal images and also suggest possible improvements.
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3D reconstruction from multiple views
Sládeček, Martin ; Klečka, Jan (referee) ; Richter, Miloslav (advisor)
This thesis deals with the task of three-dimensional scene reconstruction using image data obtained from multiple views. It is assumed that intrinsic parameters of the utilized cameras are known. The theoretical chapters describe the basic priciples of individual reconstruction steps. Variuous possible implementaions of data model suitable for this task are also described. The practical part also includes a comparison of false keypoint correspondence filtering, implementation of polar stereo rectification and comparison of disparity map calculation methods that are bundled with the OpenCV library. In the final portion of the thesis, examples of reconstructed 3D models are presented and discussed.
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3D model
Sládeček, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This paper concerns the task three-dimensional scene using image sequence obtained with an ordinry camera. First portion of this thesis outlines the principles used in solving of the task, the second chapter describes a reconstucion algorithm and it's implementation in the Python programming language. The output of this program is demonstrated on several selected scenes. Final remarks discuss the quality of resulting models, shortcomings of the program and possible improvements.
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Mobile Robot Localization in an Appartment Using Mono-Camera
Konderla, Tomasz ; Veľas, Martin (referee) ; Beran, Vítězslav (advisor)
This bachelor is thesis deals with the localization of the robot by means of image analysis from the camera placed on the robot. I will also deal with the formation of a 3D model of the environment which is created of a data set of photos taken with the camera. The 3D model I will create using the method of SFM. I will locate the camera using the pre-set 3D model. In my bachelor is thesis I will further describe the theory of processing of the image data necessary for this project. Finally, I will evaluate the results of the success of the localization.
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Magic Projection
Kaisler, Vojtěch ; Polok, Lukáš (referee) ; Zachariáš, Michal (advisor)
The bachelor thesis describes the design and implementation of an application which projects an image on a mobile canvas. The user then moves the canvas within the projection space. The projection is always focused only on this canvas. The thesis deals with tracking of movement, rotation and tilt of the screen. A camera with an infrared filter is used for tracking the canvas fitted with infrared LEDs. The thesis mentions two different types of projection.
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Content Based Photo Search
Valenta, Martin ; Mlích, Jozef (referee) ; Španěl, Michal (advisor)
This work deals with methods appropriate to content based photo search, design and implementation of subsequent applications for searching buildings. Purpose of the application is to create an interactive guide to the city using a combination of Web and client technologies (mobile, desktop). There are subscribed in detail the steps of recognition. A key points of the image are extracted by SURF. A visual dictionary is calculated with k-means algorithm. The dictionary is weighted by TF- IDF. To describe the image data is used a Bag of Words method. The text also mentions the new trends in this area and summarizes the application design and implementation results achieved.
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Merging of Images and Video Sequences
Krym, David ; Seeman, Michal (referee) ; Zemčík, Pavel (advisor)
This bachelor thesis deals with image and video sequence frames stitching when the camera undergoes a pure rotation. It involves design and implementation of application with focus on quality and performance. Modern techniques and algorithms are used, such as SURF, ORB, k-nearest neighbors and bundle adjustment. The application is able to create a panoramic images automatically without any assumptions about the scene or camera.
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Augmented Reality based on Planar Object and Local Image Features
Bárta, Milan ; Chrápek, David (referee) ; Beran, Vítězslav (advisor)
This bachelor's thesis deals with creating an augmented reality application which allows mapping of planar object and camera position localization with possibility of rendering additional information into the picture. Procedures used in image stitching process using local features are described in detail. These are the fundamental techniques for creating augmented reality applications. The thesis focuses on designing and implementation of such an application.
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Robot Localization Using Camera
Heřman, Petr ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
The objective of this work is to design a simple localization method and its implementation in robot operating system ROS. This method uses a monocular camera as the only sensor and estimates the position in a known map. In experiments with prototypes are tested key points of type SURF, SIFT and ORB.
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