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Recognizing Faces within Image

By Pavel Svoboda


The essence of face recognition within the image is generally computer vision, which provides methods and algorithms for the implementation. Some of them are described just in this work. Whole process is split in to three main phases. These are detection, aligning of detected faces and finally its recognition. Algorithms which are used to applied in given issue and which are still in progress from todays view are mentioned in every phase. Implementation is build up on three main algorithms, AdaBoost to obtain the classifier for detection, method of aligning face by principal features and method of Eigenfaces for recognizing. There are theoretically described except already mentioned algorithms neural networks for detection, ASM - Active Shape Models algorithm for aligning and AAM - Active Appearance Model for recognition. In the end there are tables of data retrieved by implemented system, which evaluated the main implementation

Topics: Face recognition; SVD - Singular Value Decomposition; Neural networks; OpenCv; AAM; Neuronové sítě; Gauss distribution; Rozpoznávání obličeje; Gaussovo rozložení; AdaBoost; Eigenfaces; PCA - Principal Component Analysis; ASM
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Year: 2009
OAI identifier: oai:invenio.nusl.cz:236716
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