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Interest Point Detection in Images
Duda, Tomáš ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This master's thesis deals with the interest point detection in images. The main goal is to create an application for making panoramic photos, which is based on this detection. The application uses the SIFT detector for finding keypoints of the image. Afterwards the geometrical consistence of image points using the RANSAC algorithm is finds out and images are transform into panorama in accordance with this geometrical consistence. Finally techniques for blending of transition between photos are used.
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Object Detection and Tracking Using Interest Points
Bílý, Vojtěch ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This paper deals with object detection and tracking using iterest points. Existing approaches are described here. Inovated method based on Generalized Hough transform and iterative Hough-space searching is proposed in this paper. Generality of proposed detector is shown in various types of objects. Object tracking is designed as frame by frame detection.
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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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Automatic Photography Categorization
Veľas, Martin ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This thesis deals with content based automatic photo categorization. The aim of the work is to experiment with advanced techniques of image represenatation and to create a classifier which is able to process large image dataset with sufficient accuracy and computation speed. A traditional solution based on using visual codebooks is enhanced by computing color features, soft assignment of visual words to extracted feature vectors, usage of image segmentation in process of visual codebook creation and dividing picture into cells. These cells are processed separately. Linear SVM classifier with explicit data embeding is used for its efficiency. Finally, results of experiments with above mentioned techniques of the image categorization are discussed.
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Object Detection Using Kinect
Švec, Ján ; Zahrádka, Jiří (referee) ; Španěl, Michal (advisor)
This bachelor's thesis deals with the object detection using Kinect. Kinect is a motion sensing input device by Microsoft company for the Xbox 360 video game console. The objective of this work was to evaluate the existing approaches and practices for the detection not only using the image from the camera but also depth map (RGB-D sensor). The work deals in details with RoboEarth tool, its installation, settings, creation of 3D model and the detection. Performance of the RoboEarth tool was in the work investigated experimentally and also evaluated.
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Image-Based Licence Plate Recognition
Vacek, Michal ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
In first part thesis contains known methods of license plate detection. Preprocessing-based methods, AdaBoost-based methods and extremal region detection methods are described.Finally, there is a described and implemented own access using local detectors to creating visual vocabulary, which is used to plate recognition. All measurements are summarized on the end.
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Live Panorama
Jalůvková, Lenka ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This batchelor`s thesis is focused on creation of live panorama. This is an innovative representation of data from streaming cameras. The input is a video from the streaming camera and the output is also stream - constantly re-drawing panorama according to the current camera position. The resulting solution is based on the SIFT algorithm for finding keypoints in the frames. Furthermore, the RANSAC algorithm is used for calculating homography for stitching images together. Re-drawing the panorama requires weighting of edges. The functionality of the proposed solution was tested on a series of testing video recordings.
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Image Database Query by Example
Dobrotka, Matúš ; Hradiš, Michal (referee) ; Veľas, Martin (advisor)
This thesis deals with content-based image retrieval. The objective of the thesis is to develop an application, which will compare different approaches of image retrieval. First basic approach consists of keypoints detection, local features extraction and creating a visual vocabulary by clustering algorithm - k-means. Using this visual vocabulary is computed histogram of occurrence count of visual words - Bag of Words (BoW), which globally represents an image. After applying an appropriate metrics, it follows finding similar images. Second approach uses deep convolutional neural networks (DCNN) to extract feature vectors. These vectors are used to create a visual vocabulary, which is used to calculate BoW. Next procedure is then similar to the first approach. Third approach uses extracted vectors from DCNN as BoW vectors. It is followed by applying an appropriate metrics and finding similar images. The conclusion describes mentioned approaches, experiments and the final evaluation.
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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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Common Image Stereo-Pair Processing for Simple Stereo-Geometry
Peloušek, Jan ; Schimmel, Jiří (referee) ; Říha, Kamil (advisor)
This Bachelor´s thesis considers the basics of epipolar geometry, explains the process of the automatic correspondency detection, describes principals of the fundamental matrix computation and finally the virtual camera view morphing between two images. There were described some of the basic Intel´s OpenCV library functions joined with this issue and describes de facto the computer stereo-pair processing. As a part of this thesis, there is the application, programmed in the C++ language in the Borland C++ Builder 6.0 developer´s environment by using the OpenCV library. This application demonstrates some of here-mentioned terms such as the fundamental matrix computation and the virtual camera view morphing. In relation to the Borland C++ Builder 6.0 using there was described the integration method of OpenCV to this environment.
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