Computer Models For Facial Beauty Analysis
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Computer Models For Facial Beauty Analysis
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Author : David Zhang
language : en
Publisher: Springer
Release Date : 2016-04-19
Computer Models For Facial Beauty Analysis written by David Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
This book covers the key advances in computerized facial beauty analysis, with an emphasis on data-driven research and the results of quantitative experiments. It takes a big step toward practical facial beauty analysis, proposes more reliable and stable facial features for beauty analysis and designs new models, methods, algorithms and schemes while implementing a facial beauty analysis and beautification system. This book also tests some previous putative rules and models for facial beauty analysis by using computationally efficient mathematical models and algorithms, especially large scale database-based and repeatable experiments.The first section of this book provides an overview of facial beauty analysis. The base of facial beauty analysis, i.e., facial beauty features, is presented in part two. Part three describes hypotheses on facial beauty, while part four defines data-driven facial beauty analysis models. This book concludes with the authors explaining how to implement their new facial beauty analysis system.This book is designed for researchers, professionals and post graduate students working in the field of facial beauty analysis, computer vision, human-machine interface, pattern recognition and biometrics. Those involved in interdisciplinary fields with also find the contents useful. The ideas, means and conclusions for beauty analysis are valuable for researchers and the system design and implementation can be used as models for practitioners and engineers.
Facial Multi Characteristics And Applications
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Author : Bob Zhang
language : en
Publisher: World Scientific
Release Date : 2018-11-19
Facial Multi Characteristics And Applications written by Bob Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Computers categories.
What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications — facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features — are identified.The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.
Face Analysis Modeling And Recognition Systems
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Author : Tudor Barbu
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-10-03
Face Analysis Modeling And Recognition Systems written by Tudor Barbu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-03 with Computers categories.
The purpose of this book, entitled Face Analysis, Modeling and Recognition Systems is to provide a concise and comprehensive coverage of artificial face recognition domain across four major areas of interest: biometrics, robotics, image databases and cognitive models. Our book aims to provide the reader with current state-of-the-art in these domains. The book is composed of 12 chapters which are grouped in four sections. The chapters in this book describe numerous novel face analysis techniques and approach many unsolved issues. The authors who contributed to this book work as professors and researchers at important institutions across the globe, and are recognized experts in the scientific fields approached here. The topics in this book cover a wide range of issues related to face analysis and here are offered many solutions to open issues. We anticipate that this book will be of special interest to researchers and academics interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis.
Facial Analysis From Continuous Video With Applications To Human Computer Interface
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Author : Antonio J. Colmenarez
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-17
Facial Analysis From Continuous Video With Applications To Human Computer Interface written by Antonio J. Colmenarez and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-17 with Computers categories.
Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.
Analysis And Modeling Of Faces And Gestures
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Author : S. Kevin Zhou
language : en
Publisher: Springer
Release Date : 2007-11-04
Analysis And Modeling Of Faces And Gestures written by S. Kevin Zhou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-04 with Computers categories.
This book constitutes the refereed proceedings of the Third International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2007, held within the scope of ICCV 2007, the International Conference on Computer Vision. The papers review the status of recognition, analysis and modeling of face, gesture, activity, and behavior. Topics addressed include feature representation, 3D face, video-based face recognition, facial motion analysis, and sign recognition.
Image Analysis And Recognition
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Author : Fakhri Karray
language : en
Publisher: Springer
Release Date : 2019-09-26
Image Analysis And Recognition written by Fakhri Karray and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-26 with Computers categories.
This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019. The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.
Face Analysis Modeling And Recognition Systems
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Author : Brygida Cullen
language : en
Publisher:
Release Date : 1916-04
Face Analysis Modeling And Recognition Systems written by Brygida Cullen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1916-04 with Computer vision categories.
"Face recognition is a type of biometric software application that can identify a specific 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 offers a concise and inclusive analysis of artificial 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."
3d Face Modeling Analysis And Recognition
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Author : Mohamed Daoudi
language : en
Publisher: John Wiley & Sons
Release Date : 2013-06-11
3d Face Modeling Analysis And Recognition written by Mohamed Daoudi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-11 with Technology & Engineering categories.
3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied. Key features: • Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition • Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images • Contains numerous exercises and algorithms throughout the book
A Study On An Automatic System For Analyzing The Facial Beauty Of Young Women
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Author : Neha Sultan
language : en
Publisher:
Release Date : 2014
A Study On An Automatic System For Analyzing The Facial Beauty Of Young Women written by Neha Sultan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Beauty is one of the foremost ideas that define human personality. However, only recently has the concept of beauty been scientifically analyzed. This has mostly been due to extensive research done in the area of face recognition and image processing on identification and classification of human features as contributing to facial beauty. Current research aims at precisely and conclusively understanding how humans classify a given individual's face as beautiful. Due to the lack of published theoretical standards and ground truths for human facial beauty, this is often an ambiguous process. Current methods of analysis and classification of human facial beauty rely mainly on the geometric aspects of human facial beauty. The classifiers used in current research include the k-nearest neighbor algorithm, ridge regression, and basic principal component analysis.In this research, various approaches related to the comprehension and analysis of human beauty are presented and the use of these theories is outlined. Each set of theories is translated into a feature model that is tested for classification. Selecting the best set of features that result in the most accurate model for the representation of the human face is a key challenge. This research introduces the combined use of three main groups of features for classification of female facial beauty, to be used with classification through support vector machines. The classifier utilized is Support Vector Machine (SVM) and the accuracy obtained through this classifier is 86%. Current research in the field has produced algorithms with percentages of accuracy that are in the range of 75-85%. The approach used is one of analysis of the central tenets of beauty, the successive application of image processing techniques, and finally the usage of relevant machine learning methods to build an effective system for the automatic assessment of facial beauty. The ground truths used for verifying results are derived from ratings extracted from surveys conducted.The proposed methodology involves a novel algorithm for the representation of facial beauty, which combines the use of geometric, textural, and shape based features for the analysis of facial beauty. This algorithm initially develops an overall landmark model of the entire human face. A significant advantage of this methodology is the accurate model of the human face which synthesizes the geometric, textural and shape-related aspects of the face. The landmark model is then used for extracting critical characteristics which are then used in a feature vector for training using machine learning. The features extracted help to represent facial characteristics in three major areas. Geometric features help to represent the symmetrical properties and ratio-based properties of landmarks on the face. Textural features extracted help capture information related to skin texture and composition. Finally, face shape and outline features help to categorize the overall shape of a given face, which helps to represent the given female face shape and outline for further analysis of any deviations from the basic face shapes. These features are then used in a classifier to appropriately categorize each image. The database used for the source of images contains images of female subjects from a variety of backgrounds and levels of attractiveness.
Pattern Recognition And Artificial Intelligence
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Author : Yue Lu
language : en
Publisher: Springer Nature
Release Date : 2020-10-09
Pattern Recognition And Artificial Intelligence written by Yue Lu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Computers categories.
This book constitutes the proceedings of the Second International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2020, which took place in Zhongshan, China, in October 2020. The 49 full and 14 short papers presented were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: handwriting and text processing; features and classifiers; deep learning; computer vision and image processing; medical imaging and applications; and forensic studies and medical diagnosis.
