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Deep Learning for Biometrics

fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture;

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Kernel Learning Algorithms for Face Recognition

kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face;

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Advanced Image and Video Processing Using MATLAB

, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip;

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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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Face and Facial Expression Recognition from Real World Videos

Alignment, Facial Expression Recognition and Facial Images.;

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3D Face Modeling, Analysis and Recognition

analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations;

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Biometrics

, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification;

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Iris Recognition

individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as themost reliable and accurate;

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Face Detection and Recognition

face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory;

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Face Detection and Recognition

face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory;

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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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Ethiopian face Recognition System Across Ages

proven sensitive to variations such as illumination, expression, pose and age. Facial age is complex variation in the study of face recognition;

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Dynamic Vision

some difficult problems in vision and learning. Many of the issues raised are relevant to object recognition in general.This book describes the;

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Deep Learning with Applications Using Python

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and;

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Handbook of Biometric Anti Spoofing

, iris, voice, vein, and signature recognition. New material is also included on major PAD competitions, important databases for research, and on;

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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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Development of Robust Iris Localization and Impairment Pruning Schemes

contributes in modifying conventional integrodifferential operator based iris detection using canny detected edge map. The review of related works on;

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Towards Adaptive Spoken Dialog Systems

negative emotions in spoken dialog systems and develop novel approaches to speech-based emotion recognition using hybrid approach to model emotions;

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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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Human Emotion Recognition from Face Images

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression;

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Human Emotion Recognition from Face Images

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression;

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Iris Texture Analysis

secure personal identification systems. Here, we introduce a convenient technique for iris recognition system. First, eye image is captured using;

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Deterministic Learning Theory for Identification, Recognition, and Control

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge;

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Deterministic Learning Theory for Identification, Recognition, and Control

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge;

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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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