Global ETD Search

31	Poloautomatické pořízení rozsáhlé databáze lidských obličejů / Semiautomatic Collection of Large Database of Human Faces Michalík, Marek January 2011 (has links) The project is focused on methods of obtaining large number of images of human faces. Such database should then serve as a set of data for face detection and recognition by the means of supervised machine learning. The work deals with the basic principles of supervised machine learning and available data sets for this procedure. Project contains proposals of techniques and implementation of algorithms suitable for acquiring images from video and a concept of user interface for semi-automatic acceptation and annotation of located images.
32	Detekce objektů v obraze / Detecting Objects in Images Kubínek, Jiří January 2009 (has links) This work is dedicated to methods used for object detection in images. There is a summary of several approaches and algorithms to solve this matter, especially AdaBoost algorithm with its improvement, WaldBoost and several features used for object detection. Vital part of this work is dedicated to extending training datasets for classifier training and extending the current object detection framework with histogram of gradients features implementation. Integral part of this work is analysis of results by experiments evaluation.
33	Určení azimutu natočení hlavy v záznamu bezpečnostní kamerou / Determining Head Rotation in Video from Security Camera Blucha, Ondřej January 2017 (has links) This thesis attempts to create an application to determine head rotation angle in video recorded from a security camera. The application consists of three parts: face detection, facial landmarks detection and determination of person's head rotation. The face detection has been implemented using Viola-Jones and HOG algorithms. Facial landmarks detection has been done using algorithm based on active shape model. Two methods to calculate the head rotation angles have been used: the first method works with anthropometric head features. The second method uses Perspective-n-Point algorithm to find the right rotation angles. Finally, all algorithms implemented have been tested and the proper parameters have been determined.
34	Detekce částí obličeje v termografickém spektru / Detection of face parts in the thermographic spectrum Šujan, Miroslav January 2011 (has links) Master´s thesis deals with current problems of face detection and its parts in the infrared thermographic spectrum. Most previously published literature deals with the detection in the visible spectrum, making the thermographic detection range an interesting alternative. The work deals with the processing of image signals, images and faces in thermographic spectrum, selected methods of face detection and its parts and also deals with practical system design for detecting facial parts in this spectrum and its subsequent testing.
35	Biometric Multi-modal User Authentication System based on Ensemble Classifier Assaad, Firas Souhail January 2014 (has links) No description available. Bioinformatics Computer Engineering Computer Science Artificial Intelligence algorithm authentication biometric classifier credentials eigenfaces multi-modal recognition score level fusion MFCC Viola Jones LBG Mel Frequency Cepstral Coefficients voice print Linde Buzo Gray ELSDSR Yale Extended NIST FERET Server client

Page generated in 0.0462 seconds