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Face Recognition in Adverse Conditions

Face Recognition in Adverse Conditions

Copyright: © 2014 |Pages: 480
ISBN13: 9781466659667|ISBN10: 1466659661|EISBN13: 9781466659674
DOI: 10.4018/978-1-4666-5966-7
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MLA

De Marsico, Maria, et al., editors. Face Recognition in Adverse Conditions. IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5966-7

APA

De Marsico, M., Nappi, M., & Tistarelli, M. (Eds.). (2014). Face Recognition in Adverse Conditions. IGI Global. https://doi.org/10.4018/978-1-4666-5966-7

Chicago

De Marsico, Maria, Michele Nappi, and Massimo Tistarelli, eds. Face Recognition in Adverse Conditions. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5966-7

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Facial recognition software has improved by leaps and bounds over the past few decades, with error rates decreasing significantly within the past ten years. Though this is true, conditions such as poor lighting, obstructions, and profile-only angles have continued to persist in preventing wholly accurate readings.

Face Recognition in Adverse Conditions examines how the field of facial recognition takes these adverse conditions into account when designing more effective applications by discussing facial recognition under real world PIE variations, current applications, and the future of the field of facial recognition research. The work is intended for academics, engineers, and researchers specializing in the field of facial recognition.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Computational Intelligence and Robotics (ACIR) Book Series
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Editorial Advisory Board and List of Reviewers
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Foreword
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Preface
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Chapters
Chapter 1
This section will first provide a review of present applications of face recognition. The critical overview of open problems will then introduce possible approaches and solutions. These will be discussed in more detail in the rest of...
Preliminaries and Reviews
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Chapter 2
This section discusses in more detail the present face recognition issues related to Pose, Illumination, and Expression (PIE) variations. Besides these classical problems, more recent research lines are focused on demographics and...
Face Recognition under Real World PIE Variations
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Chapter 3
Example Applications  (pages 272-272)
Example Applications
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Chapter 4
The concluding chapter is devoted to a bird's-eye survey of the main achievements in the field of face recognition and on sketching the most promising research lines.
Future Research Directions
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Back Materials
Compilation of References
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About the Contributors
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Index
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