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"HUMAN FACE"
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Making faces : the evolutionary origins of the human face
This book sets out to reconstruct the evolutionary history of the human face, in terms of both the fossil evidence and the recent findings of genetics, molecular biology, and developmental biology that have illuminated how the human face forms during embryonic and fetal development. In exploring this history, we will see how intimately the evolution of the face was connected to that of the brain and how mental and social processes have helped shape the human face; intriguingly, those processes have continued well into the recent history of our species. Along the way, we will take note of the remarkable diversity of human faces and examine the genetic foundations of that diversity, findings relevant to understanding the (probable) evolutionary future of the face. The final chapter sums up the key features of the history of the face, and explores how that history illuminates human evolution specifically and exemplifies the evolutionary process in general.-- Provided by publisher
Book
Recognised and Harmed
Private face recognition technologies are increasingly entering the private and public sphere, with no adequate checks and balances. This comprehensive and important new reference work explores crucial regulatory challenges, stemming from the use of private face recognition technologies in Europe. After detecting technological neutrality in law, legal uncertainty in case law and the risk of over-surveillance, it recommends an ex ante and targeted classification approach with a view to minimising privacy harms. Under the proposed scheme, an expert agency can scrutinise a given technology, balance conflicting stakes, classify that technological use and, finally, give a 'go', 'no-go' or 'go-in-condition' decision, before its actual implementation in the real-world. Recommended for legal and technology researchers and scholars focusing on surveillance and privacy, as well as government, regulatory and civil rights agencies.
eBook
Emotion recognition : a pattern analysis approach
A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. Written by several experts, the book includes several tools and techniques, including dynamic Bayesian networks, neural nets, hidden Markov model, rough sets, type-2 fuzzy sets, support vector machines and their applications in emotion recognition by different modalities. The book ends with a discussion on emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and driving-ability. There is an increasing demand of emotion recognition in diverse fields, including psycho-therapy, bio-medicine and security in government, public and private agencies. The importance of emotion recognition has been given priority by industries including Hewlett Packard in the design and development of the next generation human-computer interface (HCI) systems. Emotion Recognition: A Pattern Analysis Approach would be of great interest to researchers, graduate students and practitioners, as the book
* Offers both foundations and advances on emotion recognition in a single volume
* Provides a thorough and insightful introduction to the subject by utilizing computational tools of diverse domains
* Inspires young researchers to prepare themselves for their own research
* Demonstrates direction of future research through new technologies, such as Microsoft Kinect, EEG systems etc.
eBook
Faces around the world : a cultural encyclopedia of the human face
\"This book provides a comprehensive examination of the human face, providing fascinating information from biological, cultural, and social perspectives\"-- Provided by publisher.
Book
Our Biometric Future
Since the 1960s, a significant effort has been underway to program computers to see the human face to develop automated systems for identifying faces and distinguishing them from one another--commonly known as Facial Recognition Technology. While computer scientists are developing FRT in order to design more intelligent and interactive machines, businesses and states agencies view the technology as uniquely suited for smart surveillance - systems that automate the labor of monitoring in order to increase their efficacy and spread their reach.Tracking this technological pursuit, Our Biometric Future identifies FRT as a prime example of the failed technocratic approach to governance, where new technologies are pursued as shortsighted solutions to complex social problems. Culling news stories, press releases, policy statements, PR kits and other materials, Kelly Gates provides evidence that, instead of providing more security for more people, the pursuit of FRT is being driven by the priorities of corporations, law enforcement and state security agencies, all convinced of the technology's necessity and unhindered by its complicated and potentially destructive social consequences. By focusing on the politics of developing and deploying these technologies, Our Biometric Future argues not for the inevitability of a particular technological future, but for its profound contingency and contestability.
eBook
Issues with Facial Recognition Technology
Automated facial recognition systems compare two or more images of faces to determine whether they represent the same individual. Facial recognition technology (FRT) falls within the larger categories of biometric technology used to varying degrees by the government and private entities to identify persons. This book deals with some of the issues concerning facial recognition technology.
eBook
Deep learning research applications for natural language processing
\"This book delves into issues of natural language processing, a subset of artificial intelligence that enables computers to understand the meaning of human language using techniques of machine learning and deep learning algorithms to discern a words' semantic meanings\"-- Provided by publisher.
BOOK
3D face modeling, analysis and recognition
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
eBook