|
|
Video-Based Human-Computer Interface
Chrápek, David ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This bachelor´s thesis is focused on video-based human-computer interface controlled by movement of the whole head. By tracking relative positions of eyes and nose angles of head are determined and by movement of head simple gestures are recognized. For image processing Haar-cascades based on Viola-Jones of classifiers were used to recognize head, eyes and nose within the image and for their tracking mainly Lucas-Kanade optical flow method was used.
|
|
|
Face Detection in Video
Hypský, Roman ; Svoboda, Pavel (referee) ; Polok, Lukáš (advisor)
This bachelor's thesis describes detection of faces in video. Methods for human skin detection are described, both using the parametric approach and using the Gaussian distribution. The following is an analysis of face detection methods using the invariant features and using the machine learning methods. A particular emphasis was placed on face detection using the Viola-Jones detector using AdaBoost algorithm. The thesis also describes a practical implementation of the face detector, which was implemented in C++ using OpenCV library. Finally, the described methods are evaluated and the future project development is analyzed.
|
|
|
Semiautomatic Collection of Large Database of Human Faces
Michalík, Marek ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
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.
|
|
|
3D Monitor Based on Head Pose Detection
Zivčák, Jan ; Žák, Pavel (referee) ; Beran, Vítězslav (advisor)
With the development of posibilities of image processing, stereoscopy, prices of web cameras and power of computers an opportunity to multiply an experience with working with 3D programs showed. From the picture from webcamera an estimation of a pose of user's head can be made. According to this pose a view on 3D scene can be changed. Then, when user moves his head, he will have a feeling as if monitor was a window through which one can see the scene behind. With the system which is the result of this project it will be possible to easily and cheaply add this kind of behaviour to any 3D application.
|
|
|
Decision Tree Design Based on Evolutionary Algorithms
Benda, Ondřej ; Trzos, Michal (referee) ; Karásek, Jan (advisor)
Tato diplomová práce pojednává o dvou algoritmech pro dolování z proudu dat - Very Fast Decision Tree (VFDT) a Concept-adapting Very Fast Decision Tree (CVFDT). Je vysvětlen princip klasifikace rozhodovacím stromem. Je popsána základní myšlenka konstrukce stromu Hoeffding Tree, který je základem pro algoritmy VFDT a CVFDT. Tyto algoritmy jsou poté rozebrány detailněji. Dále se tato práce zabývá návrhem algoritmu Genetického Programování (GP), který je použit pro vytváření klasifikátoru obrazových dat. Vytvořený klasifikátor je použit jako alternativní způsob klasifikace objektů v obraze ve frameworku Viola-Jones. V práci je rozebrána implementace algoritmů, které jsou implementovány v jazyce Java. Algoritmus GP je integrován do knihovny “Image Processing Extension” programu RapidMiner. Algoritmy VFDT a CVFDT jsou testovány na syntetických a reálných textových datech. Algoritmus GP je testován na klasifikaci obrazových dat a následně vytvořený klasifikátor je otestován na detekci obličejů v obraze.
|
|
|
Detection of face parts in the thermographic spectrum
Šujan, Miroslav ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
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.
|
|
|
Real time face recognizer
Juráček, Aleš ; Přinosil, Jiří (referee) ; Richter, Miloslav (advisor)
My diploma thesis deals about face detection in picture. I try to outline problems of computer vision, artificial intelligence and machine learning. I described in details the proposed detection by Viola and Jones, which uses AdaBoost learning algorithm. This method was deliberately chosen for speed and detection accuracy. This detector was made in programming language C / C + + using the OpenCV library. To a final learning was used database of faces images „MIT CVCL Face Database“. The main goal was to propose the face detector utilizable also in video-sequences.
|
guest ::
