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Face Detection
Šašinka, Ondřej ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This MSc Thesis deals with face detection in image. In this approach, facial features (eyes, nose, mouth corners) are detected first and then joined to the whole face. For the facial features detection, classifiers trained with AdaBoost algorithm are used. Haar wavelets are used as features for classification.
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Face detection system
Karásek, Miroslav ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This work deals with methods of computer vision for localization faces in an image segmentation of individual parts of face and its comparison with the face in the reference frame. The paper gives a brief overview of biometric methods useful to identify people. It describes the various methods of locating faces in images and their features. It also deals with the editing of digital images, with the design of my own methods of localization and verification of faces and the subsequent implementation of these methods.
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Face Detection
Šašinka, Ondřej ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This MSc Thesis deals with face detection in image. In this approach, facial features (eyes, nose, mouth corners) are detected first and then joined to the whole face. For the facial features detection, classifiers trained with AdaBoost algorithm are used. Haar wavelets are used as features for classification.
|
|
|
Face detection system
Karásek, Miroslav ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This work deals with methods of computer vision for localization faces in an image segmentation of individual parts of face and its comparison with the face in the reference frame. The paper gives a brief overview of biometric methods useful to identify people. It describes the various methods of locating faces in images and their features. It also deals with the editing of digital images, with the design of my own methods of localization and verification of faces and the subsequent implementation of these methods.
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