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Illumination Invariant Face Detection

do so. One of the major difficulties faced by face detection systems is challenging illumination conditions, such as low level lighting and;

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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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Illumination Engineering

, displays, solar concentrators. The first chapter provides an overview of the field of nonimagin and illumination optics. Included in this chapter;

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Advances in Face Detection and Facial Image Analysis

This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular;

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Advances in Face Detection and Facial Image Analysis

This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular;

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Magnification in Endodontics

outcomes in non-surgical and surgical endodontics. In this text book, we concluded that magnification and illumination increased the detection rate;

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All Weather Robot Vision

and practical methods such as illumination calculations, scattering modeling, shadow/highlight detection and removal, intrinsic image;

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Multi-Modal Face Presentation Attack Detection

have been used in mobile, banking, and surveillance systems. For face recognition systems, face spoofing attack detection is a crucial stage;

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Video Shot Boundary Detection

* Shot boundary detection in the presence of illumination variation and motion;

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Video Analytics. Face and Facial Expression Recognition

selected from 9 submissions. They deal with topics such as histopathological images, action recognition, scene text detection, speech recognition;

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Face Image Analysis with Convolutional Neural Networks

facial analysis with machine learning techniques and describe common speci c sub-problems like face detection, facial feature detection and face;

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Radar Technology

The object-detection system, which is used to find the velocity, range, and angle of the objects with the help of radio waves is called the;

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Two- and Three-Dimensional Patterns of the Face

-dimensional images are complex and hard to characterize. This book develops the vocabulary of ridges and parabolic curves, of illumination eigenfaces;

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Two- and Three-Dimensional Patterns of the Face

-dimensional images are complex and hard to characterize. This book develops the vocabulary of ridges and parabolic curves, of illumination eigenfaces;

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Time-Of-Flight Cameras: Principles, Methods and Applications

face detection. It is already possible to use multiple TOF cameras, in order to increase the scene coverage, and to combine the depth data with;

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Invariant Measurement

This introductory text describes the principles of invariant measurement, how invariant measurement can be achieved with Rasch models, and;

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Invariant Measurement

This introductory text describes the principles of invariant measurement, how invariant measurement can be achieved with Rasch models, and;

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Handbook of Face Recognition

detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition;

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Multiplicative Invariant Theory

Multiplicative invariant theory, as a research area in its own right within the wider spectrum of invariant theory, is of relatively recent;

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Uncooled Thermal Imaging Arrays, Systems and Applications

of illumination. The earliest detector arrays required cryogenic cooling. The move to uncooled systems began in the late 1970s and early 1980s with work;

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Moving Object Detection Using Background Subtraction

well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and;

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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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Boosting-Based Face Detection and Adaptation

Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we;

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Background Modeling and Foreground Detection for Video Surveillance

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;

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Background Modeling and Foreground Detection for Video Surveillance

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging;

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Color Rendering of Human Faces Under Variable Illumination

Realistic human face rendering is a difficult task in computer graphics due to complexity of facial ;...

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