Object And Face Recognition
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Object And Face Recognition
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Author : Vicki Bruce
language : en
Publisher: Psychology Press
Release Date : 1994
Object And Face Recognition written by Vicki Bruce and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Psychology categories.
"This special issue on Object and Face Recognition presents a series of original papers which show how current experimental, neuropsychological and computational techniques are clarifying the mechanisms involved in processing and recognising objects and faces, and the relationship between face recognition and the recognition of other kinds of visual object." "The assembled collection contains articles by leading researchers in Canada, the USA, New Zealand and Europe and illustrates very clearly the methodological diversity, and technical and conceptual ingenuity, of current work in this intriguing area of visual cognition."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
Differences Between Object And Face Recognition In Utilizing Early Visual Information
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Author : Peter Kaloscai
language : en
Publisher:
Release Date : 1996
Differences Between Object And Face Recognition In Utilizing Early Visual Information written by Peter Kaloscai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Face perception categories.
Effects Of Categorization On Object And Face Recognition
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Author : Christopher D'Lauro
language : en
Publisher:
Release Date : 2005
Effects Of Categorization On Object And Face Recognition written by Christopher D'Lauro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Face Recognition
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Author : Harry Wechsler
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Face Recognition written by Harry Wechsler 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 2012-12-06 with Computers categories.
The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.
Support Vector Machine Based Object And Face Recognition
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Author : Narenkumar Pandian
language : en
Publisher:
Release Date : 2003
Support Vector Machine Based Object And Face Recognition written by Narenkumar Pandian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
An Automatic Animal Like Face And Object Recognition System
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Author : Colin Hearne Evans
language : en
Publisher:
Release Date : 1999
An Automatic Animal Like Face And Object Recognition System written by Colin Hearne Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Human face recognition (Computer science) categories.
Dynamic Vision From Images To Face Recognition
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Author : Shaogang Gong
language : en
Publisher: World Scientific
Release Date : 2000-05-11
Dynamic Vision From Images To Face Recognition written by Shaogang Gong and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-11 with Computers categories.
Face recognition is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based systems with comparable capabilities has proven to be difficult. The task implicitly requires the ability to locate and track faces through often complex and dynamic scenes. Recognition is difficult because of variations in factors such as lighting conditions, viewpoint, body movement and facial expression. Although evidence from psychophysical and neurobiological experiments provides intriguing insights into how we might code and recognise faces, its bearings on computational and engineering solutions are far from clear. The study of face recognition has had an almost unique impact on computer vision and machine learning research at large. It raises many challenging issues and provides a good vehicle for examining some difficult problems in vision and learning. Many of the issues raised are relevant to object recognition in general.This book describes the latest models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer vision and machine learning algorithms that can operate robustly and quickly under poorly controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually mediated interaction.The book will be of special interest to researchers and academics involved in machine vision, visual recognition and machine learning. It should also be of interest to industrial research scientists and managers keen to exploit this emerging technology and develop automated face and human recognition systems. It is also useful to postgraduate students studying computer science, electronic engineering, information or systems engineering, and cognitive psychology.
Perception Of Faces Objects And Scenes
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Author : Mary A. Peterson
language : en
Publisher: Advances in Visual Cognition
Release Date : 2006
Perception Of Faces Objects And Scenes written by Mary A. Peterson and has been published by Advances in Visual Cognition this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Psychology categories.
From a barrage of photons, we readily and effortlessly recognize the faces of our friends, and the familiar objects and scenes around us. However, these tasks cannot be simple for our visual systems--faces are all extremely similar as visual patterns, and objects look quite different when viewed from different viewpoints. How do our visual systems solve these problems? The contributors to this volume seek to answer this question by exploring how analytic and holistic processes contribute to our perception of faces, objects, and scenes. The role of parts and wholes in perception has been studied for a century, beginning with the debate between Structuralists, who championed the role of elements, and Gestalt psychologists, who argued that the whole was different from the sum of its parts. This is the first volume to focus on the current state of the debate on parts versus wholes as it exists in the field of visual perception by bringing together the views of the leading researchers. Too frequently, researchers work in only one domain, so they are unaware of the ways in which holistic and analytic processing are defined in different areas. The contributors to this volume ask what analytic and holistic processes are like; whether they contribute differently to the perception of faces, objects, and scenes; whether different cognitive and neural mechanisms code holistic and analytic information; whether a single, universal system can be sufficient for visual-information processing, and whether our subjective experience of holistic perception might be nothing more than a compelling illusion. The result is a snapshot of the current thinking on how the processing of wholes and parts contributes to our remarkable ability to recognize faces, objects, and scenes, and an illustration of the diverse conceptions of analytic and holistic processing that currently coexist, and the variety of approaches that have been brought to bear on the issues.
Handbook Of Face Recognition
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Author : Stan Z. Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-06
Handbook Of Face Recognition written by Stan Z. Li 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 2005-12-06 with Computers categories.
Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.
Human Recognition Of Faces Across Changing Contexts Is Independent Of Image Similarity
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Author : Danelle Alexis Wilbraham
language : en
Publisher:
Release Date : 2005
Human Recognition Of Faces Across Changing Contexts Is Independent Of Image Similarity written by Danelle Alexis Wilbraham and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Face perception categories.
Abstract: Faces are important stimuli because they are critical for functioning in our social world. Namely, the face is the only reliably exposed body part that can be used to distinguish one person from another, and facial expressions convey emotions that facilitate social interaction. When studying faces as a vision scientist, one way to conceptualize face recognition is to think of faces as a specific class of object. Unlike other objects, faces are recognized on a subordinate level, where the primary task is to distinguish face A from face B. With other objects, the primary task is to distinguish among different classes of objects (e.g. cups vs. chairs). However, faces and other objects share the property of being three dimensional, and thus subject to an infinite number of viewing directions in addition to the multitudes of illumination conditions that might be presented. Two general classes of recognition models have emerged in the object recognition literature and are also applicable to face recognition. Models in the first class are typically based on features of some sort and rely on object-centered representations. The observer is conceptualized as a "feature extractor," extracting namable features from the image that are used to construct a single, generalizable representation of the object. The second class includes models that are based on properties of the image and rely on viewer-centered representations. These models characterize the observer as a "pixel pattern comparator," and posit many stored representations for each object. Many of the feature-based models in the object recognition literature rely on properties such as parallelism and co-termination, which are not useful in describing faces. Therefore, for the most part, models in the face recognition literature take a more image-based approach. One major difficulty with the research area is that studies claiming to provide psychophysical support for an image-based conception of human face recognition fail to measure the image differences. Because of this lack of control, it is impossible to ensure that the changes in the images themselves are independent of the judgments being made by the observers. The present study aimed to correct this problem by measuring the image differences and using these differences to construct conditions that, under an image-based regime, would facilitate or impair the ability to perform and identity judgment. Observers saw a face followed by two alternative faces and their task was simply to indicate which of the two alternatives shared the same identity as the first face. These alternatives could have a changed expression or a change in illumination conditions. In one condition, the match and the incorrect alternative (the foil) shared the same degree of image similarity with the sample. In the facilitating condition, the correct match was more similar to the sample face than was the foil. The impairment condition had matches that were less similar to the sample than the foil. If only the pixel intensity information is being used, one would predict good performance in the facilitation condition, and increasingly poor performance in the equal similarity and impairment conditions. Results showed that the manipulation of the image similarity had no appreciable effect on human performance. An image-based algorithm was trained to perform the same task and though it performed better than was predicted, the results did not correlate well with human performance. In light of these results, I conclude that popular approaches to face recognition are not sufficient descriptors of human face recognition, and suggest further research to confirm this conclusion. Alternative models and supporting data are also discussed.