National Repository of Grey Literature 72 records found  beginprevious29 - 38nextend  jump to record: Search took 0.00 seconds. 
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.
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.
Automatic People Counting from Panoramic Photography
Blucha, Ondřej ; Kolář, Martin (referee) ; Veľas, Martin (advisor)
This bachelor thesis deals with automatic people counting from panoramic photography. This is very useful for counting large number of people, such as on the stadium or on the concerts. It consists of the two parts. The first one is image stitching, which process the images by the feature-based methods. The second part is people counting using face detection, where were used Viola-Jones detector. The ideal setting of parameters for used methods was experimentally selected.
The Segmentation of Ultrasound Images for Artery Wall Detection and Intima-Media Thickness Measurement
Beneš, Radek ; Chromý,, Erik (referee) ; Dostál, Otto (referee) ; Říha, Kamil (advisor)
The thesis focuses on the measurement of intima media thickness, which seems to be a significant marker of the risk of cardiovascular events. Intima media thickness is measured in ultrasound image displaying the common carotid artery in its longitudinal section. In the longitudinal section the intima and media layers are visible. Thesis is discussing both technical and medical background and summarizes state of the art in this field. The main part of the thesis describes the novel automatic system for measurement of intima media thickness. Proposed system includes also robust method for artery localization and therefore is able to process raw B-mode data from ultrasound station without any initialization or manual preprocessing.
Birds Eye Panorama
Sobotka, Lukáš ; Pavelková, Alena (referee) ; Kolář, Martin (advisor)
The goal of this paper is to create panorama from the collection of photographies, which are taken from randomly moving device with OS Android. The device is placed on flying vehicle (a kite, a helium balloon, a drone etc.). The photographies are taken from birds eye view. The Android application was created and tested. This application creates a collection of photographies and then runs an algorithm to create panorama. This algorithm specifies descriptors using SURF, which are filtered by RANSAC algorithm for finding the optimal homography.This algorithm is perfomed iteratively over the collection. The image data is processed using the OpenCV library.
Stitching Panoramas from Photos
Pospíšil, Lukáš ; Maršík, Lukáš (referee) ; Svoboda, Pavel (advisor)
The main purpose of this paper is a comparison of the algorithms for computing homography. It compares RANSAC, LO-RANSAC and PROSAC algoritms. Stiching panoramas is used just for their comparison, however the basic algoritms for stitching panoramas are mentioned.
Mobile Video Manual with Automatic Object Recognition
Nedbálek, Stanislav ; Maršík, Lukáš (referee) ; Španěl, Michal (advisor)
This thesis deals with potential of us computer vision and augmented reality on mobile platform - OS Android. The goal of this thesis is to demonstrate practical potential of mentioned technologies on nowdays real situations. This thesis aims to design and implementation of mobile application, which is able to show video manual for automatic detected object. The created application has been tested on group of users, which approved useability and intuitivness of this application.
Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
Tree trunk detection and recognition in images
Šalomon, Filip ; Hoderová, Jana (referee) ; Procházková, Jana (advisor)
This thesis deals with detection of circular shapes in images -- forest scan cross-sections. Freeman chain code algorithm is used for image segmentation. Ransac (Random Sample Consensus) algorithm is used for diameter measurement. The designed algorithm is tested on data from Žofín Forest.
Capturing Very High Quality Images of Planar Surfaces by a Smartphone
Masaryk, Adam ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
The aim of this thesis is to create a mobile application for Android, which allows users to create high-quality photos of planar objects. User can create multiple photographs of a selected planar object. These photographs are then aligned and combined into one final image. Various shortcomings that can be present in the photographs are filtered.

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