Ebook: Similarity Measures for Face Recognition
Author: Enrico Vezzetti, Federica Marcolin
- Tags: Face perception., Human face recognition (Computer science)., Image processing -- Digital techniques.
- Year: 2015
- Publisher: Bentham Science Publishers
- City: Oak Park, United States
- Edition: 1
- Language: English
- pdf
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.
Download the book Similarity Measures for Face Recognition for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)