The theme of this book on human and machine perception is communication, interaction, and integration. For each basic topic there are invited lectures, corresponding to approaches in nature and machines, and a panel discussion.
Author: Sergio Vitulano
Publisher: World Scientific
The theme of this book on human and machine perception is communication, interaction, and integration. For each basic topic there are invited lectures, corresponding to approaches in nature and machines, and a panel discussion. The lectures present the state of the art, outlining open questions and stressing synergies among the disciplines related to perception. The panel discussions are forums for open debate. The wide spectrum of topics allows comparison and synergy and can stimulate new approaches. Contents:Representing and Coding for CommunicationExploration and Discovering in Very Large DatasetInformation Exchange: Machine Versus Machine Readership: Researchers and professionals in computer science, biology and psychology. Keywords:Perception;Computer-Vision;Human & Machine Perception;Communication & Networking
Human–computer interact ion--Congrasses. 2. Human-machine systems--
Congresses. 3. Multi sensor data fusion--Congresses. I. Cantoni, V. II. Internat
tona i Workshop on Human and Machine Perception: Informat 1 on Fusion (2nd :
Author: Virginio Cantoni
Publisher: Springer Science & Business Media
The following are th€:" proceedings of the Second International Workshop on Human and Machine Perception held in Trabia, Italy, on July 21~25, 1996, under the auspices of two Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the 'Centro Interdipartimentale di Tecnologie della Conoscenza' ofPalenno University. A broad spectrum of topics are covered in this series, ranging from computer perception to psychology and physiology of perception (visual, auditory, tactile, etc.). The theme of this workshop was: "Human and Machine Perception: Information Fusion". The goal of information and sensory data fusion is to integrate internal knowledge with complementary and/or redundant information from many sensors to achieve (and maintain) a better knowledge of the environment. The mechanism behind the integration of information is one of the most difficult challenges in understanding human and robot perception. The workshop consisted of a pilot phase of eight leCtures introducing perception sensorialities in nature and artificial systems, and of five subsequent modules each consisting of two lectures (dealing with solutions in nature and machines respectively) and a panel discussion.
Emergence, Attention, and Creativity Virginio Cantoni, Vito di Gesù, Alessandra
Setti, Domenico Tegolo. Human and Machine Perception 2 Emergence ,
Attention , and Creativity This one 8BLC - U7K - A7Y9 Human and Machine Perception 2 ...
Author: Virginio Cantoni
Publisher: Springer Science & Business Media
The following are the proceedings of the Third International Workshop on Human and Machine Perception held in Pavia, Italy, on September 14 -17, 1998. This edition has been under the auspices of two Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR), the Centro Interdipartimentale di Scienze Cognitive, of Pavia University and the Centro Interdipartimentale Tecnologie della Conoscenza, of Palermo University. A wide spectrum of topics is covered in this series, ranging from computer perception to psychology and physiology of perception, for analysing and comparing biological and artificial approaches. The theme of this workshop was focused on "Emergence, Attention and Creativity". The workshop structure consisted of five modules each one composed of two invited lectures (dealing with solutions in nature and machines respectively) and a panel discussion. The lectures focused on presenting the state-of-the-art and outlining open questions. In particular, they sought to stress links, suggesting possible synergies between different cultural areas. The panel discussion was conceived as a forum for an open debate, briefly introduced by each panellist, and mainly aimed at deeper investigation for the different approaches and strictly related topics. The panellists were asked to prepare a few statements on hot-points, which were delivered in advance to the participants as a guide for a qualified discussion.
More attention to the human tactics in machine perception research might yield
both a better understanding of our visual system and a fruitful alternative
approach to designing machines that see. The power of nature's own perceiving
Author: Jacob Beck
Publisher: Academic Press
Human and Machine Vision provides information pertinent to an interdisciplinary program of research in visual perception. This book presents a psychophysical study of the human visual system, which provides insights on how to model the flexibility required by a general-purpose visual system. Organized into 17 chapters, this book begins with an overview of how a visual display is segmented into components on the basis of textual differences. This text then proposes three criteria for judging representations of shape. Other chapters consider an increased use of machine vision programs as models of human vision and of data from human vision in developing programs for machine vision. This book discusses as well the diversity and flexibility of systems for representing visual information. The final chapter deals with dot patterns and discusses the process of interring orientation information from collections of them. This book is a valuable resource for psychologists, neurophysiologists, and computer scientists.
Values less than 1 mean two colors are indistinguishable to the human eye, a
value from 1 to 2 represents a very slight difference, 2–10 ... human perception, machine perception, and with their mutual feedback construct a shared context.
Author: William Lawless
Publisher: Academic Press
Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and what happens when machines malfunction
Human and Machine Perception Harry Wechsler. Foreword Neural Networks for
Perception explores perception and the recent research in neural networks that
has advanced our understanding of both human and machine perception.
Author: Harry Wechsler
Publisher: Academic Press
Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.
Environment-Centered and Viewer-Centered Perception of Surface Orientation
H. A. SEDGWICK AND S. LEVY ... two experiments that compared human
observers' ability to perceive the environment-centered orientation of surfaces
with their ...
Author: Azriel Rosenfeld
Publisher: Academic Press
Perspectives in Computing: Human and Machine Vision II compiles papers presented at the second Workshop on Human and Machine Vision held in Montreal, Canada on August 1-3, 1984. This book discusses the perception of transparency in man and machine, human image understanding, and connectionist models and parallelism in high level vision. The theory of the perceived spatial layout of scenes, generative systems of analyzers, and codon constraints on closed 2D shapes are also elaborated. This text likewise covers the environment- and viewer-centered perception of surface orientation, autonomous scene description with range imagery, and pre-attentive processing in vision. This publication is recommended for students and researchers interested in both fields of visual perception and computer vision.
In V . Cantoni , A . Setti , V . Di Gesu , and D . Tegolo , editors , Human and Machine Perception : Information Fusion , chapter VI , pages 55 - 74 . Plenum
Press , New York , 1997 . [ 3 ] T . Bernard , P . Nguyen , F . Devos , and B .
Author: IEEE Computer Society
Exploring architecure/parallel and high-performance computing, this volume includes subjects covered at Computer Architectures for Machine Perception (CAMP '97), such as architectures for image understanding, sound recognition and vision and multisensor perception.
MULTIMODAL INTERFACE FOR HUMAN-MACHINE COMMUNICATION Editors
o o 8 P. S. P. Wang o ... to " World Scientific MUILTIMODAL INTERPACE FOR HUMAN-MACHINE COMMUNICATION SERIES IN MACHINE PERCEPTION
Author: P C Yuen
Publisher: World Scientific
With the advance of speech, image and video technology, human–computer interaction (HCI) will reach a new phase. In recent years, HCI has been extended to human–machine communication (HMC) and the perceptual user interface (PUI). The final goal in HMC is that the communication between humans and machines is similar to human-to-human communication. Moreover, the machine can support human-to-human communication (e.g. an interface for the disabled). For this reason, various aspects of human communication are to be considered in HMC. The HMC interface, called a multimodal interface, includes different types of input methods, such as natural language, gestures, face and handwriting characters. The nine papers in this book have been selected from the 92 high-quality papers constituting the proceedings of the 2nd International Conference on Multimodal Interface (ICMI '99), which was held in Hong Kong in 1999. The papers cover a wide spectrum of the multimodal interface. Contents:Introduction to Multimodal Interface for Human–Machine Communication (P C Yuen et al.)Algorithms:A Face Location and Recognition System Based on Tangent Distance (R Mariani)Recognizing Action Units for Facial Expression Analysis (Y-L Tian et al.)View Synthesis Under Perspective Projection (G C Feng et al.)Single Modality Systems:Sign Language Recognition (W Gao & C Wang)Helping Designers Create Recognition-Enabled Interfaces (A C Long et al.)Information Retrieval:Cross-Language Text Retrieval by Query Translation Using Term Re-Weighting (I Kang et al.)Direct Feature Extraction in DCT Domain and Its Applications in Online Web Image Retrieval for JPEG Compressed Images (G Feng et al.)Multimodality Systems:Advances in the Robust Processing of Multimodal Speech and Pen Systems (S Oviatt)Information-Theoretic Fusion for Multimodal Interfaces (J W Fisher III & T Darrell)Using Virtual Humans for Multimodal Communication in Virtual Reality and Augmented Reality (D Thalmann) Readership: Computer scientists and engineers. Keywords:
Conceptual aspects of human factors. Baltimore, MD: The Johns Hopkins
University Press. Meister, D. (1984). Letter. Human Factors Society Bulletin, 27, 2.
Neisser, U. (1989, August). Direct perception and recognition as distinct
Author: John M. Flach
Publisher: CRC Press
Category: Technology & Engineering
There is a growing consensus in the human factors/ergonomics community that human factors research has had little impact on significant applied problems. Some have suggested that the problem lies in the fact that much HF/E research has been based on the wrong type of psychology, an information processing view of psychology that is reductionistic and context-free. Ecological psychology offers a viable alternative, presenting a richer view of human behavior that is holistic and contextualized. The papers presented in these two volumes show the conceptual impact that ecological psychology can have on HF/E, as well as presenting a number of specific examples illustrating the ecological approach to human-machine systems. It is the first collection of papers that explicitly draws a connection between these two fields. While work in this area is only just beginning, the evidence available suggests that taking an ecological approach to human factors/ergonomics helps bridge the existing gap between basic research and applied problems.
Although the analogy between human and machine perception breaks down at
the neuron and micro - chip level , on the functional and structural level we find a
considerable degree of correlation . From this brief discussion of perception , we
Author: Stephanie Williams
This volume combines computer research with current issues in linguistics and second language teaching. The fundamental connection between language education and information processing has emerged in recent years, as numerous prominent linguists have turned their attention to the computer and information analysts have turned to linguistics and language education for models, techniques, and explanations required in language programming. Thus, this volume addresses the pressing theoretical and practical problems encountered in both fields.
In V. Cantoni , A. Setti , V. Di Gesu , and D. Tegolo , editors , Human and Machine Perception : Information Fusion , chapter VI , pages 55-74 . Plenum Press , New
York , 1997 . [ 3 ] T. Bernard , P. Nguyen , F. Devos , and B. Zavidovique .
... 2000 Neural Networks forthcoming ) to encode spaces between textons in an
attempt to find a suitable feature representation of anti - textons ( Williams and
Julesz , 1991 , in Neural Networks for Perception volume 1 : Human and Machine
Technological reality is a reality assembled equally by humans and machines (
Dyens 2003 : 8 ) . It is the world as seen , perceived , decoded , and encoded by
a man / machine perception . This technological reality , which shapes our
Author: Niran B. Abbas
Publisher: LIT Verlag Münster
The book explores historical traces of human life within the discourse of artifical intelligence. It addresses a matrix of themes about technology and change, ranging from the realm of the inanimate to the animate. it traces the ways in which the human spirit looks beyond its limitations and ponders the potentia of "being human." Niran Bahjat-Abbas is senior lecturer in the Department of Media and Cultural Studies at Kingston University, London (UK).
Planner Situation Assessor Perceptuo Motor Sensory Memory Tactical
Maneuvers PMA Level ( unconscious ) Situation Assessment SensoriActuator
Level ( unconscious ) Pilot move speed , altitude , tum ) Human position Human
and Gabby ...
Author: Magdy A. Bayoumi
Publisher: IEEE Computer Society
Proceedings of the Computer Architectures for Machine Perception Workshop held Dec. 15-17, 1993 in New Orleans, Louisiana. Papers came from several communities: computer architecture; pattern recognition; image processing and analysis; computer vision; and VLSI. No index. Annotation copyright Book N
For better human or machine perception, images often need to be refined by
various image processing techniques. For instance, in order to see some features
or parts of an image better, these features or parts can be enhanced by an ...
Author: Peihua Qiu
Publisher: John Wiley & Sons
The first text to bridge the gap between image processing andjump regression analysis Recent statistical tools developed to estimate jump curves andsurfaces have broad applications, specifically in the area of imageprocessing. Often, significant differences in technicalterminologies make communication between the disciplines of imageprocessing and jump regression analysis difficult. Ineasy-to-understand language, Image Processing and JumpRegression Analysis builds a bridge between the worlds ofcomputer graphics and statistics by addressing both the connectionsand the differences between these two disciplines. The authorprovides a systematic analysis of the methodology behindnonparametric jump regression analysis by outlining procedures thatare easy to use, simple to compute, and have proven statisticaltheory behind them. Key topics include: Conventional smoothing procedures Estimation of jump regression curves Estimation of jump location curves of regression surfaces Jump-preserving surface reconstruction based on localsmoothing Edge detection in image processing Edge-preserving image restoration With mathematical proofs kept to a minimum, this book isuniquely accessible to a broad readership. It may be used as aprimary text in nonparametric regression analysis and imageprocessing as well as a reference guide for academicians andindustry professionals focused on image processing or curve/surfaceestimation.
The objective of image fusion  is to combine information from multiple source
images which contains the best relevant information coming from source images
and is more suitable for human or machine perception. Image fusion is an ...
Author: Abderrahim Elmoataz
This book constitutes the refereed proceedings of the 5th International Conference on Image and Signal Processing, ICISP 2012, held in Agadir, Morocco, in June 2012. The 75 revised full papers presented were carefully reviewed and selected from 158 submissions. The contributions are grouped into the following topical sections: multi/hyperspectral imaging; image itering and coding; signal processing; biometric; watermarking and texture; segmentation and retieval; image processing; pattern recognition.
... the broader field of human factors as well as to offer a historical perspective for
the emerging field of cognitive informatics. ... that by no coincidence was chosen
to honor artificial intelligence researcher and the father of machine perception, ...
Author: Szewczak, Edward J.
Publisher: IGI Global
Category: Business & Economics
"This book presents quality articles focused on key issues concerning the behavioral and social aspects of information technology"--Provided by publisher.