Computers & Technology | Computer Science

Similarity Measures for Face Recognition

by Enrico Vezzetti

2020-08-19 05:23:35

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Face recognition has several applications, including security, such as (authentication and identification of device users and criminal suspects), and in medicine (corrective surgery and diagnosis). Facial recognition programs rely on algorithms that ... Read more
Face recognition has several applications, including security, such as (authentication and identification of device users and criminal suspects), and in medicine (corrective surgery and diagnosis). Facial recognition programs rely on algorithms that can compare and compute the similarity between two sets of images. This eBook explains some of the similarity measures used in facial recognition systems in a single volume. Readers will learn about various measures including Minkowski distances, Mahalanobis distances, Hansdorff distances, cosine-based distances, among other methods. The book also summarizes errors that may occur in face recognition methods. Computer scientists "facing face" and looking to select and test different methods of computing similarities will benefit from this book. The book is also useful tool for students undertaking computer vision courses. - See more at: http://www.eurekaselect.com/130654#sthash.At4fkc1J.dpuf Less

Book Details

PublisherBentham Science Publishers
Publication date January 15, 2016
LanguageEnglish
ISBN168042b4-ef3f-4f36-8fd7-495482b0829e
autor-image
Enrico Vezzetti
Author
...

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