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Braille Reader on Mobile Device
Krušina, Jan ; Maršík, Lukáš (referee) ; Sochor, Jakub (advisor)
This bachelor thesis deals with detection and translation of Braille characters from images taken by a camera on a mobile phone. Firstly, different approaches of solution of this issue are mentioned, and their results are described. Secondly, the chosen method that deals with this problem is introduced, and implementation of this technique on a chosen mobile device is presented. Finally, evaluation of the algorithm is described and results are analyzed.
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Recognition of Pieces on Chessboard from Photography on Mobile Device
Tábi, Roman ; Polok, Lukáš (referee) ; Sochor, Jakub (advisor)
The aim of this bachelor thesis is a mobile application for Android platform, which recognises chessboard pieces from photography of the chessboard. Application uses photography from gallery and determine the content of every single chessboard cell, thus if it contains black or white piece, or if it is empty. The task is solved in two stages. First is the detection of chessboard lines to determine the position of chessboard cells, second is the detection of chessboard pieces. The result of this thesis is working Android application.
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Deep Learning for Facial Recognition in Video
Mihalčin, Tomáš ; Sochor, Jakub (referee) ; Hradiš, Michal (advisor)
This diploma thesis focuses on a face recognition from a video, specifically how to aggregate feature vectors into a single discriminatory vector also called a template. It examines the issue of the extremely angled faces with respect to the accuracy of the verification. Also compares the relationship between templates made from vectors extracted from video frames and vectors from photos. Suggested hypothesis is tested by two deep convolutional neural networks, namely the well-known VGG-16 network model and a model called Fingera provided by company Innovatrics. Several experiments were carried out in the course of the work and the results of which confirm the success of proposed technique. As an accuracy metric was chosen the ROC curve. For work with neural networks was used framework Caffe.
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Mobile System for Text Recognition on iOS
Bobák, Petr ; Sochor, Jakub (referee) ; Zemčík, Pavel (advisor)
This thesis describes a development of a modern client-server application for text recognition on iOS platform. The reader is acquainted with common principles of a client-server model, including its known architecture styles, and with a distribution of logical layers between both sides of the model. After that the thesis depicts current trends and examples of suitable technologies for creating an application programming interface of a web server. Possible ways of text recognition on the server side are discussed as well. In context of a client side, the thesis provides an insight into iOS platform and a few important concepts in iOS application development. Following implementation of the server side is stressed to be reusable as much as possible for different kinds of use cases. Last but not least, the thesis provides a simple iOS framework for a direct communication with the recognition server. Finally, an application for evaluation of food ingredients from a packaging material is implemented as an example of usage.
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Crowd Counting in Video
Kuřátko, Jiří ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
This master's thesis prepared the programme which is able to follow the trajectories of the movement of people and based on this to create various statistics. In practice it is an effective marketing tool which can be used for instance for customer flow analyses, optimal evaluation of opening hours, visitor traffic analyses and for a lot of other benefits. Histograms of oriented gradients, SVM classificator and optical flow monitoring were used to solve this problem. The method of multiple hypothesis tracking was selected for the association data. The system's quality was evaluated from the video footage of the street with the large concentration of pedestrians and from the school's camera system, where the movement in the corridor was monitored and the number of people counted.
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Mobile App for Scanning and Recognition of Cashier Bills
Bambuch, Vladislav ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
The aim of this thesis is to develop a mobile application which allows photographing of cashier bills and offers a function of finance management via an intuitive graphical user interface. The app uses OCR technology to digitize the prices of receipts and follows the new Android Material Design trends. The price marking of the particular items is carried out on the taken receipt. When the user indicates particular prices by clicking on them they are summed up into the final amount. Users are able to save such final amounts together with other related information and record statistics about their spending. That results in a fast and very easy way of adding the purchase records which are available both in form of organized summaries and graphs.
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Apparent Personality Analysis from Video
Čigáš, Patrik ; Sochor, Jakub (referee) ; Hradiš, Michal (advisor)
This bachelor thesis deals with experiments with systems for apparent personality analysis from video, and compares accuracy of these systems. Systems from the experiments are created by linear regression and convolutional neural networks. Experiments compare accuracy of linear regressors processing visual and audial modality of video. On spectograms made from audial modality of video, thesis evaluates results of convolutional neural networks with varying number of convolutional and fully connected layers nad subsequently compares accuracy of regression solution and classification solution of the problem. For visual modality of video the thesis compares information values of gaze movement and face landmarks movement. System processing face landmarks movement reaches the best results in the experiments.
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Image Compression with Neural Networks
Teuer, Lukáš ; Sochor, Jakub (referee) ; Hradiš, Michal (advisor)
This document describes image compression using different types of neural networks. Features of neural networks like convolutional and recurrent networks are also discussed here. The document contains detailed description of various neural network architectures and their inner workings. In addition, experiments are carried out on various neural network structures and parameters in order to find the most appropriate properties for image compression. Also, there are proposed new concepts for image compression using neural networks that are also immediately tested. Finally, a network of the best concepts and parts discovered during experimentation is designed.
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Reconstruction of 3D Information about Vehicles Passing in front of a Surveillance Camera
Dobeš, Petr ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
This master's thesis focuses on 3D reconstruction of vehicles passing in front of a traffic surveillance camera. Calibration process of surveillance camera is first introduced and the relation of automatic calibration with 3D information about observed traffic is described. Furthermore, Structure from Motion, SLAM, and optical flow algorithms are presented. A set of experiments with feature matching and the Structure from Motion algorithm is carried out to examine results on images of passing vehicles. Afterwards, the Structure from Motion pipeline is modified. Instead of using SIFT features, DeepMatching algorithm is utilized to obtain quasi-dense point correspondences for the subsequent reconstruction phase. Afterwards, reconstructed models are refined by applying additional constraints specific to the vehicle reconstruction task. The resultant models are then evaluated. Lastly, observations and acquired information about the process of vehicle reconstruction are utilized to form proposals for prospective design of an entirely custom pipeline that would be specialized for 3D reconstruction of passing vehicles.
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Mobile Application for Studis BUT
Smyčka, Jan ; Sochor, Jakub (referee) ; Špaňhel, Jakub (advisor)
Bachelor thesis deals with the development of mobile application in Android for VUT information system. The theoretical part of the thesis describes Android operating system and its basic elements used in the application development process, the text also describes the architectural design of mobile applications. The main part of the thesis deals with the implementation of the application and its testing on the users. In the final part of the thesis, the application development and user testing are assessed, and further possible development of the application for the future is proposed.
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