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AeroWorks: Visual Identification of Aircraft Flight Regimes
Kardoš, Juraj ; Dittrich, Petr (referee) ; Chudý, Peter (advisor)
This Bachelor thesis deals with the visual identification of an aircraft flight's regimes. It describes the spatial motion of an airplane along with the visualization of flight parameters and also proposes a system for a flight regime visual identification. The system processes the input video on a frame by frame basis in two steps. Initially, the video is being stabilized and the system subsequently proceeds in identification of flight related quantities describing the current flight state. Video stabilization is based on feature points detection and an optical flow calculation. Video frames are transformed in order to achieve sufficient consecutive frames overlap and thus to minimize the parasitic oscillations of the video acquisition system. Identification of values indicated by flight instruments is based on the Hough line transform approach. The thesis also includes a description of an application that analyzes a video from the cockpit of an aircraft and is able to recognize the instrument values displayed on specified flight instruments.
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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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3D Scene Reconstruction from Images
Ambrož, Ondřej ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
Existing systems of scene reconstruction and theorethical basics necessary for scene reconstruction from images data are described in this work. System of scene reconstruction from video was designed and implemented. Its results were analyzed and possible future work was proposed. OpenCV, ArtToolKit and SIFT libraries which were used in this project are also described.
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3D Scene Reconstruction from Images
Hejl, Zdeněk ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This thesis describes methods of reconstruction of 3D scenes from photographs and videos using the Structure from motion approach. A new software capable of automatic reconstruction of point clouds and polygonal models from common images and videos was implemented based on these methods. The software uses variety of existing and custom solutions and clearly links them into one easily executable application. The reconstruction consists of feature point detection, pairwise matching, Bundle adjustment, stereoscopic algorithms and polygon model creation from point cloud using PCL library. Program is based on Bundler and PMVS. Poisson surface reconstruction algorithm, as well as simple triangulation and own reconstruction method based on plane segmentation were used for polygonal model creation.
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3D Objects Detection in Images
Bordovský, Gabriel ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This bachelors thesis deals with detection of a known 3D object in images and its pose estimation. The method uses the ORB-type keypoints and their location on the surface of a bounding box. By using solve of PnP problem a pose of the object is obtained using the points 2D coordinates from the image and the 3D coordinates of the very points from the registered model. This thesis expands a detection method for simple box-shaped objects, which is a part of OpenCV library, for the usage on more complex objects. In experiments, the detector reached a detection success rate of 85 % and the computed pose matches the real one approximately for 88 %.
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