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Face Recognition and its Disorders

Focusing on disorders, Bate unravels the mysteries and intricacies of facial processing from a new perspective, covering cognitive;

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Kernel Learning Algorithms for Face Recognition

kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and;

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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

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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Visual Agnosia

of visual recognition within the framework of cognitive neuroscience, and remains the authoritative work on the subject. This long-awaited second;

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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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Selective Deficits in Developmental Cognitive Neuropsychology

, face recognition, reading, and memory. These papers illustrate the value of this approach and its promise as a means to gain insight into;

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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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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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Handbook of Face Recognition

and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face;

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Face Recognition using PCA &LDA Algorithm

implement a face recognition method, using PCA&LDA Algorithm and compare these both algorithms with respect to time, memory and accuracy. Face;

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Face Recognition

, gender, age and species. What factors might account for this type of bias in face recognition? This collection considers the issue of how our;

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Face Recognition

, gender, age and species. What factors might account for this type of bias in face recognition? This collection considers the issue of how our;

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Face and Facial Expression Recognition from Real World Videos

2014. The 11 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as Face Recognition, Face;

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Unconstrained Face Recognition

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently;

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Two- and Three-Dimensional Patterns of the Face

The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two;

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Two- and Three-Dimensional Patterns of the Face

The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two;

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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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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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Facial Expression Recognition

book covers work on both theoretical and experimental approaches to facial expression recognition, neuropsychology, functional brain imaging;

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Reliable Face Recognition Methods

research and development. The book's focused approach and its clarity of presentation make this an excellent reference work.;

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Dynamic Vision

recognise faces, its bearings on computational and engineering solutions are far from clear. The study of face recognition has had an almost unique;

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Face Recognition using Vector Quantization

recognition. In this book four different VQ algorithms namely LBG, KPE, KMCG and KFCG are used to observe the efficiency of face recognition system;

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Face Recognition Using Colour Statistics

feature is used for face recognition by cross correlating the histogram of a given face and the histograms of faces in the database. Alternatively;

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Face Recognition Technologies

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

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