2017, ISBN: 9781681174648

Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Face recognition is a type of biometric software application that can identify a speci?c individual in a digital image by analysing… Mehr…

Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Face recognition is a type of biometric software application that can identify a speci?c individual in a digital image by analysing and comparing patterns. A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Facial recognition systems are commonly used for security purposes but are increasingly being used in a variety of other applications. In addition to being used for security systems, establishments have found a number of other applications for facial recognition systems. Some facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject's face. For instance, an algorithm may analyse the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face recognition. A probe image is then compared with the face data. One of the earliest successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation.The book named Face Analysis, Modeling and Recognition Systems o?ers a concise and inclusive analysis of arti?cial face recognition domain through major areas of interest: biometrics, robotics, image databases and cognitive models. The topics in this book describe numerous novel face analysis techniques and approach many unsolved issues. It will be of special interest to academics and researchers interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis. Printed Pages: 400., Scitus Academics, 2017, 6, Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Pattern Recognition Techniques, Technology and Applications disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition. The book provides comprehensive overview of the developments of techniques and approaches on pattern recognition.Pattern recognition is the science of making inferences from perceptual data, using tools from statistics, probability, computational geometry, machine learning, signal processing, and algorithm design. A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition task. Pattern recognition is the imposition of identity on input data, such as speech, images, or a stream of text, by the recognition and delineation of patterns it contains and their relationships. Stages in pattern recognition may involve measurement of the object to identify distinguishing attributes, extraction of features for the defining attributes, and comparison with known patterns to determine a match or mismatch. Pattern recognition has extensive application in astronomy, medicine, robotics, and remote sensing by satellites. Printed Pages: 298., Scitus Academics, 2017, 6<

2017, ISBN: 9781681174648

CRC Pr I Llc, 2008. Hardcover. New. 1st edition. 336 pages. 9.25x6.25x0.75 inches., CRC Pr I Llc, 2008, 6, Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Pattern Recognition T… Mehr…

CRC Pr I Llc, 2008. Hardcover. New. 1st edition. 336 pages. 9.25x6.25x0.75 inches., CRC Pr I Llc, 2008, 6, Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Pattern Recognition Techniques, Technology and Applications disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition. The book provides comprehensive overview of the developments of techniques and approaches on pattern recognition.Pattern recognition is the science of making inferences from perceptual data, using tools from statistics, probability, computational geometry, machine learning, signal processing, and algorithm design. A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition task. Pattern recognition is the imposition of identity on input data, such as speech, images, or a stream of text, by the recognition and delineation of patterns it contains and their relationships. Stages in pattern recognition may involve measurement of the object to identify distinguishing attributes, extraction of features for the defining attributes, and comparison with known patterns to determine a match or mismatch. Pattern recognition has extensive application in astronomy, medicine, robotics, and remote sensing by satellites. Printed Pages: 298., Scitus Academics, 2017, 6<

2017, ISBN: 9781681174648

Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Pattern Recognition Techniques, Technology and Applications disclose recent advances and new ideas in promoting the techniques, tec… Mehr…

Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Pattern Recognition Techniques, Technology and Applications disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition. The book provides comprehensive overview of the developments of techniques and approaches on pattern recognition.Pattern recognition is the science of making inferences from perceptual data, using tools from statistics, probability, computational geometry, machine learning, signal processing, and algorithm design. A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition task. Pattern recognition is the imposition of identity on input data, such as speech, images, or a stream of text, by the recognition and delineation of patterns it contains and their relationships. Stages in pattern recognition may involve measurement of the object to identify distinguishing attributes, extraction of features for the defining attributes, and comparison with known patterns to determine a match or mismatch. Pattern recognition has extensive application in astronomy, medicine, robotics, and remote sensing by satellites. Printed Pages: 298., Scitus Academics, 2017, 6<

2017, ISBN: 9781681174648

Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Pattern Recognition Techniques, Technology and Applications disclose recent advances and new ideas in promoting the techniques, tec… Mehr…

Scitus Academics, 2017. Hardcover. New. 6 X 9 inches. Pattern Recognition Techniques, Technology and Applications disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition. The book provides comprehensive overview of the developments of techniques and approaches on pattern recognition.Pattern recognition is the science of making inferences from perceptual data, using tools from statistics, probability, computational geometry, machine learning, signal processing, and algorithm design. A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition task. Pattern recognition is the imposition of identity on input data, such as speech, images, or a stream of text, by the recognition and delineation of patterns it contains and their relationships. Stages in pattern recognition may involve measurement of the object to identify distinguishing attributes, extraction of features for the defining attributes, and comparison with known patterns to determine a match or mismatch. Pattern recognition has extensive application in astronomy, medicine, robotics, and remote sensing by satellites. Printed Pages: 298., Scitus Academics, 2017, 6<