Similarity Measures for Face Recognition


by

Enrico Vezzetti, Federica Marcolin

DOI: 10.2174/97816810804441150101
eISBN: 978-1-68108-044-4, 2015
ISBN: 978-1-68108-045-1



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Face recognition has several applications, including security, such as (authentication and identification of device users and criminal...[view complete introduction]

Table of Contents

Foreword

- Pp. i

Luigi Preziosi

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Preface

- Pp. iii

Enrico Vezzetti and Federica Marcolin

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Introduction

- Pp. 3-7 (5)

Enrico Vezzetti and Federica Marcolin

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Minkowski Distances for Face Recognition

- Pp. 9-30 (22)

Enrico Vezzetti and Federica Marcolin

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Mahalanobis Distance for Face Recognition

- Pp. 31-38 (8)

Enrico Vezzetti and Federica Marcolin

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Hausdorff Distance for Face Recognition

- Pp. 39-46 (8)

Enrico Vezzetti and Federica Marcolin

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Cosine-Based Distances, Correlations, and Angles for Face Recognition

- Pp. 47-55 (9)

Enrico Vezzetti and Federica Marcolin

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Other Distances for Face Recognition

- Pp. 57-67 (11)

Enrico Vezzetti and Federica Marcolin

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Errors for Face Recognition

- Pp. 69-71 (3)

Enrico Vezzetti and Federica Marcolin

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Similarity Functions for Face Recognition

- Pp. 73-79 (7)

Enrico Vezzetti and Federica Marcolin

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Other Measures for Face Recognition

- Pp. 81-92 (12)

Enrico Vezzetti and Federica Marcolin

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Discussion and Conclusion

- Pp. 93-95 (3)

Enrico Vezzetti and Federica Marcolin

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Future Research

- Pp. 97-98 (2)

Enrico Vezzetti and Federica Marcolin

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References

- Pp. 99-106 (8)

Enrico Vezzetti and Federica Marcolin

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Subject Index

- Pp. 107-109 (3)

Enrico Vezzetti and Federica Marcolin

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Foreword

This book addresses a fundamental step in face recognition research answering, among other issues, the following questions: how to properly measure the distance between surfaces representing faces, what are the pros and contras of each algorithms and how they compare with each other, what are their computational costs. In this respect, this book represents a reference point for PhD students and researchers who want to start working not only at face recognition problems but also at other applications dealing with the recognition of three-dimensional shapes.

The need for such a book was particularly evident when we presented to our multidisciplinary team of the High Polytechnic School the topic to be studied that was aimed at the development of a diagnostic tool of prenatal syndromes from three-dimensional ultrasound scans (SYN DIAG). A book, easy to use, putting order and organizing the scientific significance of similarity measures applied to face recognition problems was missing. This aspect was crucial to support the choice of measures to be selected and tested.

Coming to the topic of the book, face recognition has several applications, including security, such as authentication and identification of suspects, and medical ones, such as corrective surgery and diagnosis. So, I think that this book is going to be a valuable tool for all scientists 'facing face'.

Luigi Preziosi
Department of Mathematical Sciences
Politecnico di Torino
Torino
Italy


Preface

This book is a thorough organized treatise of the current knowledge on similarity measures applied to face recognition. Firstly, an overview on measures, distance functions and metrics is given. Then, each measure is introduced, defined, and inserted in the context of face recognition through a detailed summary of works in which the measure is applied to recognition. The works which employed the examined similarity measure are collected and reported chronologically, in order to have an overview on how the research changed over the time. After this part, each similarity measure is compared to others depending on the algorithms, recognition rate, and computational cost. Contributions that contain information about performances of these measures of similarity and compare them to others are reported. Lastly, some conclusions are drawn.

Acknowledgement

Declared None.

Conflict Of Interest

The authors confirm that this book contents have no conflict of interest.

Enrico Vezzetti
&
Federica Marcolin

Department of Management and Production Engineering
Politecnico di Torino
Torino
Italy
E-mails: federica.marcolin@polito.it and enrico.vezzetti@polito.it

List of Contributors

Author(s):
Enrico Vezzetti
Department of Management and Production Engineering
Politecnico di Torino
Torino
Italy


Federica Marcolin
Department of Management and Production Engineering
Politecnico di Torino
Torino
Italy




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