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Advances in Face Detection and Facial Image Analysis

  • Book
  • © 2016

Overview

  • Presents the latest research and applications in face analysis, including interdisciplinary problems concerning computer vision and psychology

  • Illustrates a review of existing methods in each chapter, rather than a single method proposed by the authors

  • Provides particular attention given to facial dynamics analysis using high-speed cameras

  • Includes supplementary material: sn.pub/extras

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Table of contents (15 chapters)

Keywords

About this book

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.

Editors and Affiliations

  • Automatic Control, Silesian University of Technology, Kawulok, Poland

    Michal Kawulok

  • Computer Science, Louisiana State University in Shreveport, Shreveport, USA

    M. Emre Celebi

  • Silesian University of Technology, Gliwice, Poland

    Bogdan Smolka

Bibliographic Information

  • Book Title: Advances in Face Detection and Facial Image Analysis

  • Editors: Michal Kawulok, M. Emre Celebi, Bogdan Smolka

  • DOI: https://doi.org/10.1007/978-3-319-25958-1

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-25956-7Published: 08 April 2016

  • Softcover ISBN: 978-3-319-79864-6Published: 24 April 2018

  • eBook ISBN: 978-3-319-25958-1Published: 02 April 2016

  • Edition Number: 1

  • Number of Pages: X, 434

  • Number of Illustrations: 55 b/w illustrations, 110 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Image Processing and Computer Vision

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