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Replacement of QR Codes by Colored Matrices
Moc, Filip ; Szentandrási, István (referee) ; Herout, Adam (advisor)
This bachelor's thesis is about developing new color code for saving digital data in an image. In this report you can find informations about existing related technologies including some existing codes. You can also find here design of the new code and it's gradual improvements. There is also description of generation and recognition of this code. Finally there are results of experiments which demonstrates the success of all the work.
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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.
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Basic Shapes Detection in Point Clouds
Eldes, Pavol ; Materna, Zdeněk (referee) ; Španěl, Michal (advisor)
This thesis deals with the topic of simple geometric shapes detection from point-clouds with a special interest in the influence of point normals on speed and quality of produced results. Its main product is an application that demonstrates detection of planes, spheres and cylinders. Detection is done using the RANSAC paradigm that is modified in this thesis to allow it to work with multiple models simultaneously. Another modification presented in this thesis focuses on enforcing stricter candidate shapes selection conditions for detection models.
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Object Detection Based on Edges
Caha, Jaroslav ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This work presents a door detection method in images for mobile robot navigation. The method is able to detect doors in an input picture on the basis of found image edges. It is important to distinguish the door from similar objects like windows, paintings, or floor patterns. Therefore, the picture is divided into more parts (a floor, a wall, a ceiling) so that the potential placement of the door can be better drawn.
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Panorama Automatically
Motáček, Vladimír ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
This paper concerns automatic panoramic image mosaicing. Images can be taken in any direction and in any order. This work uses basic technics such as Harris corner detection, correlation of image patches for finding correspondences and computing homography using RANSAC. The images are mapped to the reference image plane.
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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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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.
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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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Tooth Clasification on Jaw 3D Polygonal Model
Hulík, Rostislav ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
This document discusses a solution for tooth classification on 3D jaw polygonal model. Sequentially, I describe techniques for representation and browsing of polygonal model saved in computer memory, techniques for dental curve detection and finally, creation of surface representing approximated tooth plane. After it, I analyze possibilities of height map creation from jaw model which helps in tooth classification in the scope of entire dental curve context and, as a last step, final detection of these teeth in two dimensions. In the same time, I discuss 3D polygonal model segmentation for border extraction, which separates teeth from the rest of the model. In the end of proposed algorithm, I join these two runs into one final detection and classification process of separate teeth, so presented application can automatically indentify and classify teeth to corresponding names and positions with a minimum user interaction. In a second half of this document, I describe implemented solution. According to primary goal, I propose these techniques forcefully to multiplatform approach and maximal user comfort.
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