Recognition and Perception of Images

Recognition and Perception of Images
Author: Iftikhar B. Abbasov
Publisher: John Wiley & Sons
Total Pages: 466
Release: 2021-03-23
Genre: Technology & Engineering
ISBN: 1119750555

This book is dedicated to the unique interdisciplinary research of imagery processing, recognition and perception. The contents of this book are based on the concepts of mathematical processing, compositional analysis applied in the art and design, and psychological factors of the information perception process. The conduction of compositional analysis carried out in the course of images processing and recognition, creation of the image project solution and modeling of the conceptual space structures are considered together with the mechanism of their perception. Edited and written by a group of international experts, the practical applications for industry are covered, including the influence of internet memes on social networks and face recognition technology subject to interferences. The algorithms of perception and improving of accuracy necessary for satellite imagery recognition and complex reflection from the object are represented with the use of artificial neural networks. Not just a study in how humans recognize and perceive images, this outstanding new volume delves into how these processes are used in technology for continuously evolving industrial applications. Whether for the veteran scientist or engineer, or for the student, this is a must-have for any library.

Recognition and Perception of Images

Recognition and Perception of Images
Author: Iftikhar B. Abbasov
Publisher: John Wiley & Sons
Total Pages: 464
Release: 2021-02-25
Genre: Technology & Engineering
ISBN: 1119751977

This book is dedicated to the unique interdisciplinary research of imagery processing, recognition and perception. The contents of this book are based on the concepts of mathematical processing, compositional analysis applied in the art and design, and psychological factors of the information perception process. The conduction of compositional analysis carried out in the course of images processing and recognition, creation of the image project solution and modeling of the conceptual space structures are considered together with the mechanism of their perception. Edited and written by a group of international experts, the practical applications for industry are covered, including the influence of internet memes on social networks and face recognition technology subject to interferences. The algorithms of perception and improving of accuracy necessary for satellite imagery recognition and complex reflection from the object are represented with the use of artificial neural networks. Not just a study in how humans recognize and perceive images, this outstanding new volume delves into how these processes are used in technology for continuously evolving industrial applications. Whether for the veteran scientist or engineer, or for the student, this is a must-have for any library.

Perception of Pixelated Images

Perception of Pixelated Images
Author: Talis Bachmann
Publisher: Academic Press
Total Pages: 171
Release: 2016-01-21
Genre: Psychology
ISBN: 0128095059

Perception of Pixelated Images covers the increasing use of these images in everyday life as communication, socialization, and commerce increasingly rely on technology. The literature in this book is dispersed across a wide group of disciplines, from perception and psychology to neuroscience, computer science, engineering, and consumer science. The book summarizes the research to date, answering such questions as, What are the spatial and temporal limits of perceptual discrimination of pixelated images?, What are the optimal conditions for maximizing information extracted from pixelated images?, and How does the method of pixelation compromise or assist perception? - Integrates research from psychology, neuroscience, computer science, and engineering - Explains how the process of perception works for pixelated images - Identifies what assists and hinders perception, including the method of pixelation - Discusses the limits of perception of pixelated images

Image Pattern Recognition

Image Pattern Recognition
Author: Svetlana N. Yanushkevich
Publisher: World Scientific
Total Pages: 453
Release: 2007
Genre: Computers
ISBN: 9812770674

The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual. The other side of the biometrics coin is biometric synthesis OCo rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions. This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies OCo human identification by analysis of biometric. data OCo is extended to include the new discipline of biometric synthesis."

Picture Perception in Animals

Picture Perception in Animals
Author: Joël Fagot
Publisher: Psychology Press
Total Pages: 464
Release: 2000
Genre: History
ISBN: 9781841691565

For 35 years, visual recognition by animals has been studied by showing the subjects pictures of social or non-social objects, or scenes without questioning much the validity of pictorial representations. Here comparative psychologists and cognitive neuroscientists address that issue by asking such questions as whether animals recognize visual objects or scenes on pictures despite variations in viewpoint, the extent to which birds recognize the real world from its two-dimensional representations, and whether monkeys extract gaze information from pictures. c. Book News Inc.

Shape Perception in Human and Computer Vision

Shape Perception in Human and Computer Vision
Author: Sven J. Dickinson
Publisher: Springer Science & Business Media
Total Pages: 505
Release: 2013-06-29
Genre: Computers
ISBN: 144715195X

This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.

Recognition and Perception of Images

Recognition and Perception of Images
Author: Iftikhar B. Abbasov
Publisher: John Wiley & Sons
Total Pages: 466
Release: 2021-03-23
Genre: Technology & Engineering
ISBN: 1119750555

This book is dedicated to the unique interdisciplinary research of imagery processing, recognition and perception. The contents of this book are based on the concepts of mathematical processing, compositional analysis applied in the art and design, and psychological factors of the information perception process. The conduction of compositional analysis carried out in the course of images processing and recognition, creation of the image project solution and modeling of the conceptual space structures are considered together with the mechanism of their perception. Edited and written by a group of international experts, the practical applications for industry are covered, including the influence of internet memes on social networks and face recognition technology subject to interferences. The algorithms of perception and improving of accuracy necessary for satellite imagery recognition and complex reflection from the object are represented with the use of artificial neural networks. Not just a study in how humans recognize and perceive images, this outstanding new volume delves into how these processes are used in technology for continuously evolving industrial applications. Whether for the veteran scientist or engineer, or for the student, this is a must-have for any library.

Art, Perception, and Reality

Art, Perception, and Reality
Author: E. H. Gombrich
Publisher: JHU Press
Total Pages: 160
Release: 1973-09
Genre: Art
ISBN: 9780801815522

Explores questions relating to the nature of representation in art. It asks how we recognize likeness in caricatures or portraits, for instance, and presents the conflicting arguments and opinions of an art historian, a psychologist and a philosopher.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

Representations and Techniques for 3D Object Recognition and Scene Interpretation
Author: Derek Hoiem
Publisher: Morgan & Claypool Publishers
Total Pages: 172
Release: 2011
Genre: Computers
ISBN: 1608457281

One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions