Description
This specialized hardcover volume by Ramakrishnan S. provides an in-depth exploration of face recognition technology, with particular emphasis on semisupervised classification methodologies and subspace projection techniques. Published by InTech in 2017, the book addresses critical evaluation methods essential for developing robust facial recognition systems.
The text covers fundamental principles and advanced applications of face recognition algorithms, examining how semisupervised learning approaches can improve classification accuracy when labeled training data is limited. The book details various subspace projection methods used to reduce dimensionality while preserving discriminative facial features. Comprehensive evaluation frameworks are presented to assess system performance, reliability, and practical implementation considerations. Ideal for researchers, practitioners, and students in computer vision, machine learning, and biometric systems.
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