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Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

Human face recognition (Computer science) --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Optical pattern recognition --- Computer security

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Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume.This book begins with a comprehensive

Human face recognition (Computer science) --- Biometric identification --- Research. --- Biometric person authentication --- Biometrics (Identification) --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Anthropometry --- Identification --- Optical pattern recognition

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Human face recognition (Computer science) --- Optical character recognition. --- OCR (Optical character recognition) --- Optical pattern recognition --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science)

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As a baby one of our earliest stimuli is that of human faces. We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. We realize the complexity of the underlying problem only when we attempt to duplicate this skill in a computer vision system. This book is arranged around a number of clustered themes covering different aspects of face recognition. The first section on Statistical Face Models and Classifiers presents reviews and refinements of some well-known statistical models. The next section presents two articles exploring the use of Infrared imaging techniques and is followed by few articles devoted to refinements of classical methods. New approaches to improve the robustness of face analysis techniques are followed by two articles dealing with real-time challenges in video sequences. A final article explores human perceptual issues of face recognition.

Human face recognition (Computer science) --- Mathematics. --- Math --- Science --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Optical pattern recognition --- Biostatistics --- Physical Sciences --- Engineering and Technology --- Computer and Information Science --- Human-Computer Interaction

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John D. Woodward presented this briefing to the Virginia State Crime Commission Facial Recognition Sub-committee in September 2002. This briefing defines biometrics and discusses examples of the technology, explaining how biometrics may be used for authentication and surveillance purposes.

Human face recognition (Computer science). --- Human face recognition (Computer science) --- Biometric identification --- Engineering & Applied Sciences --- Applied Physics --- Biometric person authentication --- Biometrics (Identification) --- Anthropometry --- Identification --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Optical pattern recognition