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Unconstrained Face Recognition

, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a;

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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Face Recognition

Face Recognition: Cognitive and Computational Processes critically discusses current research in face recognition, leading to an original;

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Human Recognition in Unconstrained Environments

Human Recognition in Unconstrained Environments provides a unique picture of the complete 'in-the-wild' biometric recognition;

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Physiological Computing Systems

reality, psychophysiological load assessment in unconstrained scenarios, body tracking and movement pattern recognition, emotion recognition;

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Face Detection and Recognition

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include;

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Face Detection and Recognition

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include;

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Face Recognition using PCA &LDA Algorithm

Over the last decades, numerous face recognition methods have been proposed to overcome the problem limited by the current technology;

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Face Recognition

Face recognition has been an active area of research in image processing and computer vision due to its extensive range of prospective;

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Ethiopian face Recognition System Across Ages

Face recognition is one of the most attractive research area in the field of pattern recognition and computer vision due to its interesting;

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Handbook of Face Recognition

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem;

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Face Recognition

Although most people are good at face recognition, we are particularly good at recognizing the faces of individuals who share our race;

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Face Recognition

Although most people are good at face recognition, we are particularly good at recognizing the faces of individuals who share our race;

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Face and Facial Expression Recognition from Real World Videos

Recognition from Real World Videos in conjunction with the 22nd International Conference on Pattern Recognition held in Stockholm, Sweden, in August;

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Video Analytics. Face and Facial Expression Recognition and Audience Measurement

International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern;

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Face Recognition using Vector Quantization

This book presents a novel approach for Face Recognition using 'Vector Quantization'. Face Recognition is one of the popular biometric;

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Handbook of Face Recognition

This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range;

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Document Recognition

large-scaled scanned documents, character detection from complex backgrounds, unconstrained handwriting recognition and multi-lingual OCR among;

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Face Recognition Using Colour Statistics

In this book, a new high performance face recognition system based on matching the colour pixel statistics is introduced. A pre-processing;

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Face Recognition Technologies

accuracy in face recognition technologies. They also identify privacy and bias concerns.;

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Video Analytics. Face and Facial Expression Recognition

This book constitutes the proceedings of the Third Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2018;

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Advances in Face Detection and Facial Image Analysis

psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis;

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Advances in Face Detection and Facial Image Analysis

psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various;

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Face Recognition for Surveillance Purpose

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Face Recognition for Real Time Application

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Low Rank and Sparse Modeling for Visual Analysis

and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links;

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Template Matching Techniques In Computer Vision

The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face;

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