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.
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