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In the World Library of Psychologists series, international experts themselves present career-long collections of what they judge to be their finest pieces - extracts from books, key articles, salient research findings, and their major practical theoretical contributions.
Andy Young has an international reputation as an eminent scholar and pioneer in the field of face perception. This selection brings together some of his best work over the last thirty years.
A specially written introduction gives an overview of his career and contextualises the selection in relation to changes in the field during this time. The first section on 'Theoretical Perspectives' will explain the background to research on facial expression and the types of question that have been addressed. These include the relation between perception of facial identity and expression, how expressions are perceptually represented, and multimodal contributions to interpreting other people's emotions. The second section 'Experimental Approaches' will explain the key techniques and tests of important theoretical questions.The next part will give examples of selective impairments affecting fear or disgust recognition from face and voice, and cases with more general problems in recognising emotion. These offer important evidence for the resolution of theoretical questions raised in Part 1. The fourth section looks at a combination of functional brain imaging and experimental methods to investigate the neural representation of facial expression. Finally, the last part will take methods from the other parts of the book and apply them to investigating some of the factors that may underlie different types of clinical or everyday problem and bringing out potential implications for treatment.
The book enables the reader to trace developments in facial expression recognition over the last thirty years. It will appeal to anyone with interests in these areas as well as being an invaluable resource for graduate and advanced undergraduate courses in face perception or visual cognition.
Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm. This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class. The presentation of each algorithm describes the basic algorithm flow in detail, complete with graphical illustrations. Pseudocode implementations are also included for many of the methods, and definitions are supplied for terms which may be unfamiliar to the novice reader. Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum. Topics and features: presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driven methods, 3D object recognition schemes, flexible contour fitting algorithms, and descriptor-based methods; explores each method in its entirety, rather than focusing on individual steps in isolation, with a detailed description of the flow of each algorithm, including graphical illustrations; explains the important concepts at length in a simple-to-understand style, with a minimum usage of mathematics; discusses a broad spectrum of applications, including some examples from commercial products; contains appendices discussing topics related to OR and widely used in the algorithms, (but not at the core of the methods described in the chapters). Practitioners of industrial image processing will find this simple introduction and overview to OR a valuable reference, as will graduate students in computer vision courses. Marco Treiber is a software developer at Siemens Electronics Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.
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