Representation and Recognition in Vision
Representation and Recognition in Vision

Author: Shimon Edelman

Publisher: MIT Press

Published: 1999

Total Pages: 378

ISBN-13: 9780262050579

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Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in objects. Researchers have long sought to understand what the brain does when we see an object, what two people have in common when they see the same object, and what a "seeing" machine would need to have in common with a human visual system. Recent neurobiological and computational advances in the study of vision have now brought us close to answering these and other questions about representation. In Representation and Recognition in Vision, Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in objects. This leads to a computationally feasible and formally veridical representation of distal objects that addresses the needs of shape categorization and can be used to derive models of perceived similarity. Edelman first discusses the representational needs of various visual recognition tasks, and surveys current theories of representation in this context. He then develops a theory of representation that is related to Shepard's notion of second-order isomorphism between representations and their targets. Edelman goes beyond Shepard by specifying the conditions under which the representations can be made formally veridical. Edelman assesses his theory's performance in identification and categorization of 3D shapes and examines it in light of psychological and neurobiological data concerning the object-processing stream in primate vision. He also discusses the connections between his theory and other efforts to understand representation in the brain.

Vision
Vision

Author: David Marr

Publisher: MIT Press

Published: 2010-07-09

Total Pages: 429

ISBN-13: 0262514621

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Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.

Representation and Recognition in Vision
Representation and Recognition in Vision

Author: Shimon Edelman

Publisher:

Published: 2016

Total Pages: 362

ISBN-13: 9780262293310

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Researchers have long sought to understand what the brain does when we see an object, what two people have in common when they see the same object, and what a ""seeing"" machine would need to have in common with a human visual system. Recent neurobiological and computational advances in the study of vision have now brought us close to answering these and other questions about representation. In Representation and Recognition in Vision, Shimon Edelman bases a comprehensive approach to visual representation on the notion of correspondence between proximal (internal) and distal similarities in ob.

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

Published: 2011

Total Pages: 172

ISBN-13: 1608457281

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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

Dissimilarity Representation For Pattern Recognition, The: Foundations And Applications
Dissimilarity Representation For Pattern Recognition, The: Foundations And Applications

Author: Robert P W Duin

Publisher: World Scientific

Published: 2005-11-22

Total Pages: 634

ISBN-13: 9814479144

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This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition.Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations are usually modeled in the form of graphs or diagrams. While this is useful for communication between experts, such representation is difficult to combine and integrate by machine learning procedures. However, if the relations are captured by sets of dissimilarities, general data analysis procedures may be applied for analysis.With their detailed description of an unprecedented approach absent from traditional textbooks, the authors have crafted an essential book for every researcher and systems designer studying or developing pattern recognition systems.

Touch and Blindness
Touch and Blindness

Author: Morton A. Heller

Publisher: Psychology Press

Published: 2006-04-21

Total Pages: 395

ISBN-13: 1135619301

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Research on touch and blindness has undergone rapid transformation in recent years, with dramatic developments in technology designed to provide assistance to those who are blind, and advancements in robotics that demand haptic interfaces. Touch and Blindness approaches the study of the topic from the perspectives of psychological methodology and the most sophisticated, state-of-the-art techniques in neuroscience. This book, edited by well-known leaders in the field, is derived from the discussions presented by speakers at a conference held in 2002, and presents current research in the field. The book is arranged in a logical, disciplinary fashion, first discussing touch and blindness from a psychological perspective, followed by an examination from the perspective of neuroscience. Some specific topics include: *processing spatial information from touch and movement; *form, projection, and pictures for the blind; *neural substrate and visual and tactile object representations; and *the role of visual cortex in tactile processing. Touch and Blindness is ideal for researchers in psychology and neuroscience, medicine, and special education.

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)
Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Author: Chi Hau Chen

Publisher: World Scientific

Published: 1999-03-12

Total Pages: 1045

ISBN-13: 9814497649

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The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.

Three-dimensional Computer Vision
Three-dimensional Computer Vision

Author: Olivier Faugeras

Publisher: MIT Press

Published: 1993

Total Pages: 712

ISBN-13: 9780262061582

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This monograph by one of the world's leading vision researchers provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition. Faugeras takes up such important problems in computer vision as projective geometry, camera calibration, edge detection, stereo vision (with many examples on real images), different kinds of representations and transformations (especially 3-D rotations), uncertainty and methods of addressing it, and object representation and recognition. His theoretical account is illustrated with the results of actual working programs.Three-Dimensional Computer Vision proposes solutions to problems arising from a specific robotics scenario in which a system must perceive and act. Moving about an unknown environment, the system has to avoid static and mobile obstacles, build models of objects and places in order to be able to recognize and locate them, and characterize its own motion and that of moving objects, by providing descriptions of the corresponding three-dimensional motions. The ideas generated, however, can be used indifferent settings, resulting in a general book on computer vision that reveals the fascinating relationship of three-dimensional geometry and the imaging process.

A Concise Companion to Visual Culture
A Concise Companion to Visual Culture

Author: A. Joan Saab

Publisher: John Wiley & Sons

Published: 2021-03-08

Total Pages: 512

ISBN-13: 1119415403

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Provides an up-to-date overview of the present state Visual Cultural Studies, featuring new original content, topics, and methods The Wiley Blackwell Concise Companion to Visual Culture brings together original research by both established scholars and new voices in the dynamic field, exploring the history, current state, and possible future directions of visual cultural studies. Organized as a series of non-traditional keyword essays, this innovative volume engages readers with a diversity of ideas and perspectives to broaden and enrich their understanding of visual culture and its operations. This accessible, reader-friendly volume begins with a brief introduction to the history and practices of visual studies, featuring interviews and conversations with key figures such as W.J.T. Mitchell and Douglas Crimp. The majority of the text explores key concepts within a broad framework of history, ecologies, mediations, agencies, and politics while placing particular emphasis on interdisciplinarity and intersectionality. Essays cover keyword topics including Identities, Representation, Institutions, Architectures, Memes, Environment, Temporality, and many more. Offering a unique approach to the subject, this timely resource: Presents new work from a diverse group of scholars with a broad range of social, cultural, and generational perspectives Emphasizes the importance of activism and political urgency in humanities scholarship Discusses engaging objects and discourses beyond film and art, such as architecture, video games, political activism, and the nonhuman Highlights the diverse and interconnecting elements of visual culture scholarship Includes case studies and short introductions that provide context and reinforce core concepts The Wiley Blackwell Concise Companion to Visual Culture is essential reading for advanced undergraduate students, graduate students, and scholars in the fields of visual studies, art history, film studies, and media studies.

Visual Texture
Visual Texture

Author: Michal Haindl

Publisher: Springer Science & Business Media

Published: 2013-01-18

Total Pages: 304

ISBN-13: 1447149025

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This book surveys the state of the art in multidimensional, physically-correct visual texture modeling. Features: reviews the entire process of texture synthesis, including material appearance representation, measurement, analysis, compression, modeling, editing, visualization, and perceptual evaluation; explains the derivation of the most common representations of visual texture, discussing their properties, advantages, and limitations; describes a range of techniques for the measurement of visual texture, including BRDF, SVBRDF, BTF and BSSRDF; investigates the visualization of textural information, from texture mapping and mip-mapping to illumination- and view-dependent data interpolation; examines techniques for perceptual validation and analysis, covering both standard pixel-wise similarity measures and also methods of visual psychophysics; reviews the applications of visual textures, from visual scene analysis in medical applications, to high-quality visualizations in the automotive industry.