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Advances in Face Detection and Facial Image Analysis [electronic resource] / edited by Michal Kawulok, M. Emre Celebi, Bogdan Smolka.

Contributor(s): Kawulok, Michal [editor.] | Celebi, M. Emre [editor.] | Smolka, Bogdan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: X, 434 p. 165 illus., 110 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319259581.Subject(s): Engineering | Image processing | Engineering | Signal, Image and Speech Processing | Image Processing and Computer VisionAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Face and Facial Landmark Detection -- Overview of Face Recognition Methods Gaze Direction and Head Pose Estimation -- Facial Emotions Recognition -- Facial Dynamics Analysis -- Deception Detection -- Face Liveness Detection -- Gender and Age Classification -- Applications of Automatic Face Analysis -- Conclusion.
In: Springer eBooksSummary: This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.
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Introduction -- Face and Facial Landmark Detection -- Overview of Face Recognition Methods Gaze Direction and Head Pose Estimation -- Facial Emotions Recognition -- Facial Dynamics Analysis -- Deception Detection -- Face Liveness Detection -- Gender and Age Classification -- Applications of Automatic Face Analysis -- Conclusion.

This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.

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