This edited volume covers technological developments and current research trends in the field of photonics, plasmonics and optics, focusing on photonic crystals, semiconductor optical devices, optical communications and optical sensors, with an emphasis on practical sectors. It broadly contains the latest research domains contributed by experts and researchers in their respective fields with a major focus on the basic physics. Works in the area of electromagnetic bandgap structures (EBG) and metasurfaces are included for applications in different aspects of communications systems. Further, it covers research phenomena of microwave photonic devices to develop miniaturized high-frequency devices. FEATURES Reviews nonlinear optical phenomena related with materials and crystals and plasmonic effects on device fabrications Contains a detailed analysis on photonic crystals with their applications in making all-optical passive components Focusses on nonlinear optics, more precisely on crystals and materials, and computational aspects on evaluating their properties from Maxwell’s equations Presents an extensive study on the physics of EBG structures for application in antenna and high-frequency communications Includes metamaterials and metasurfaces for applications in photonics as well as in microwave engineering for high-frequency communication systems Photonics, Plasmonics and Information Optics: Research and Technological Advances is aimed at researchers, professionals and graduate students in optical communication, silicon photonics, photonic crystals, semiconductor optical devices, metamaterials and metasurfaces, and microwave photonics.

This edited volume covers technological developments and current research trends in the field of photonics, plasmonics and optics, focusing on photonic crystals, semiconductor optical devices, optical communications and optical sensors, with an emphasis on practical sectors. It broadly contains the latest research domains contributed by experts and researchers in their respective fields with a major focus on the basic physics. Works in the area of electromagnetic bandgap structures (EBG) and metasurfaces are included for applications in different aspects of communications systems. Further, it covers research phenomena of microwave photonic devices to develop miniaturized high-frequency devices. FEATURES Reviews nonlinear optical phenomena related with materials and crystals and plasmonic effects on device fabrications Contains a detailed analysis on photonic crystals with their applications in making all-optical passive components Focusses on nonlinear optics, more precisely on crystals and materials, and computational aspects on evaluating their properties from Maxwell's equations Presents an extensive study on the physics of EBG structures for application in antenna and high-frequency communications Includes metamaterials and metasurfaces for applications in photonics as well as in microwave engineering for high-frequency communication systems Photonics, Plasmonics and Information Optics: Research and Technological Advances is aimed at researchers, professionals and graduate students in optical communication, silicon photonics, photonic crystals, semiconductor optical devices, metamaterials and metasurfaces, and microwave photonics.

The main aim of this book is to introduce the concept of photonic information processing technologies to the graduate and post-graduate students, researchers, engineers and scientists. It is expected to give the readers an insight into the concepts of photonic techniques of processing as a system, the photonic devices as required components which are applied in the areas of communication, computation and intelligent pattern recognition.

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control. Face Detection and Recognition: Theory and Practice elaborates on andexplains the theory and practice of face detection and recognition systems currently in vogue. The book begins with an introduction to the state of the art, offering a general review of the available methods and an indication of future research using cognitive neurophysiology. The text then: Explores subspace methods for dimensionality reduction in face image processing, statistical methods applied to face detection, and intelligent face detection methods dominated by the use of artificial neural networks Covers face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory, face recognition using evolutionary algorithms, and face recognition in frequency domain Discusses methods for the localization of face landmarks helpful in face recognition, methods of generating synthetic face images using set estimation theory, and databases of face images available for testing and training systems Features pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB (R)/PYTHON) and hardware implementation strategies with code examples Demonstrates how frequency domain correlation techniques can be used supplying exhaustive test results Face Detection and Recognition: Theory and Practice provides students, researchers, and practitioners with a single source for cutting-edge information on the major approaches, algorithms, and technologies used in automated face detection and recognition.

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control. Face Detection and Recognition: Theory and Practice elaborates on andexplains the theory and practice of face detection and recognition systems currently in vogue. The book begins with an introduction to the state of the art, offering a general review of the available methods and an indication of future research using cognitive neurophysiology. The text then: Explores subspace methods for dimensionality reduction in face image processing, statistical methods applied to face detection, and intelligent face detection methods dominated by the use of artificial neural networks Covers face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory, face recognition using evolutionary algorithms, and face recognition in frequency domain Discusses methods for the localization of face landmarks helpful in face recognition, methods of generating synthetic face images using set estimation theory, and databases of face images available for testing and training systems Features pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB (R)/PYTHON) and hardware implementation strategies with code examples Demonstrates how frequency domain correlation techniques can be used supplying exhaustive test results Face Detection and Recognition: Theory and Practice provides students, researchers, and practitioners with a single source for cutting-edge information on the major approaches, algorithms, and technologies used in automated face detection and recognition.