Titlebook: Handbook of Face Recognition; Stan Z. Li,Anil K. Jain,Jiankang Deng Book 2024Latest edition The Editor(s) (if applicable) and The Author(s

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https://doi.org/10.1007/978-981-99-3072-2ecifically, we explore de-biasing approaches by designing two different network architectures using deep learning. Meanwhile, we evaluate the model’s demographic bias on various datasets to show how much bias is mitigated in our attempt at improving the fairness of face representations extracted from CNNs.

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https://doi.org/10.1007/978-3-642-73638-4been achieved recently [., .]. However, real face images are captured through different sources, such as sketch artists and infrared imaging devices, called .. Furthermore, matching face images in different modalities, which is referred to as ., is now attracting growing attention in both biometrics research and industry.

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Book 2024Latest editionly and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions..This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational recognit

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Facial Landmark Localizationtions and face region contours, which is essential for many face analysis tasks, e.g., recognition, animation, attributes classification, and face editing. These applications usually run on lightweight devices in uncontrolled environments, requiring landmark detectors to be accurate, robust, and computationally efficient, all at the same time.