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Author: Laurence R. Harris
Publisher: Cambridge University Press
ISBN: 1139497227
Category : Science
Languages : en
Pages : 369
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Book Description
Biological and machine systems exist within a complex and changing three-dimensional world. We appear to have no difficulty understanding this world, but how do we go about forming a perceptual model of it? Centred around three key themes: depth processing and stereopsis; motion and navigation in 3D; and natural scene perception, this volume explores the latest cutting-edge research into the perception of three dimension environments. It features contributions from top researchers in the field, presenting both biological and computational perspectives. Topics covered include binocular perception; blur and perceived depth; stereoscopic motion in depth; and perceiving and remembering the shape of visual space. This unique book will provide students and researchers with an overview of ongoing research as well as perspectives on future developments in the field. Colour versions of a selection of the figures are available at www.cambridge.org/9781107001756.
Author: Laurence R. Harris
Publisher: Cambridge University Press
ISBN: 1139497227
Category : Science
Languages : en
Pages : 369
Get Book Here
Book Description
Biological and machine systems exist within a complex and changing three-dimensional world. We appear to have no difficulty understanding this world, but how do we go about forming a perceptual model of it? Centred around three key themes: depth processing and stereopsis; motion and navigation in 3D; and natural scene perception, this volume explores the latest cutting-edge research into the perception of three dimension environments. It features contributions from top researchers in the field, presenting both biological and computational perspectives. Topics covered include binocular perception; blur and perceived depth; stereoscopic motion in depth; and perceiving and remembering the shape of visual space. This unique book will provide students and researchers with an overview of ongoing research as well as perspectives on future developments in the field. Colour versions of a selection of the figures are available at www.cambridge.org/9781107001756.
Author: Laurence R. Harris
Publisher:
ISBN: 9781139113069
Category : Binocular vision
Languages : en
Pages : 370
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Book Description
Top researchers explore the latest cutting-edge research into the perception of 3D environments, presenting both biological and computational perspectives.
Author: Yi Ma
Publisher: Springer Science & Business Media
ISBN: 0387217797
Category : Computers
Languages : en
Pages : 542
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Book Description
This book introduces the geometry of 3-D vision, that is, the reconstruction of 3-D models of objects from a collection of 2-D images. It details the classic theory of two view geometry and shows that a more proper tool for studying the geometry of multiple views is the so-called rank consideration of the multiple view matrix. It also develops practical reconstruction algorithms and discusses possible extensions of the theory.
Author: Kestutis Kveraga
Publisher: MIT Press
ISBN: 026231990X
Category : Science
Languages : en
Pages : 339
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Book Description
Cutting-edge research on the visual cognition of scenes, covering issues that include spatial vision, context, emotion, attention, memory, and neural mechanisms underlying scene representation. For many years, researchers have studied visual recognition with objects—single, clean, clear, and isolated objects, presented to subjects at the center of the screen. In our real environment, however, objects do not appear so neatly. Our visual world is a stimulating scenery mess; fragments, colors, occlusions, motions, eye movements, context, and distraction all affect perception. In this volume, pioneering researchers address the visual cognition of scenes from neuroimaging, psychology, modeling, electrophysiology, and computer vision perspectives. Building on past research—and accepting the challenge of applying what we have learned from the study of object recognition to the visual cognition of scenes—these leading scholars consider issues of spatial vision, context, rapid perception, emotion, attention, memory, and the neural mechanisms underlying scene representation. Taken together, their contributions offer a snapshot of our current knowledge of how we understand scenes and the visual world around us. Contributors Elissa M. Aminoff, Moshe Bar, Margaret Bradley, Daniel I. Brooks, Marvin M. Chun, Ritendra Datta, Russell A. Epstein, Michèle Fabre-Thorpe, Elena Fedorovskaya, Jack L. Gallant, Helene Intraub, Dhiraj Joshi, Kestutis Kveraga, Peter J. Lang, Jia Li Xin Lu, Jiebo Luo, Quang-Tuan Luong, George L. Malcolm, Shahin Nasr, Soojin Park, Mary C. Potter, Reza Rajimehr, Dean Sabatinelli, Philippe G. Schyns, David L. Sheinberg, Heida Maria Sigurdardottir, Dustin Stansbury, Simon Thorpe, Roger Tootell, James Z. Wang
Author: Christian Wöhler
Publisher: Springer Science & Business Media
ISBN: 1447141504
Category : Computers
Languages : en
Pages : 390
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Book Description
This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.
Author: Arcangelo Distante
Publisher: Springer Nature
ISBN: 3030423786
Category : Computers
Languages : en
Pages : 694
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Book Description
Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.
Author: Olivier Faugeras
Publisher: MIT Press
ISBN: 9780262061582
Category : Computers
Languages : en
Pages : 712
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Book Description
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.
Author: Pascal Vasseur
Publisher: John Wiley & Sons
ISBN: 1394256434
Category : Computers
Languages : en
Pages : 260
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Book Description
Omnidirectional cameras, vision sensors that can capture 360° images, have in recent years had growing success in computer vision, robotics and the entertainment industry. In fact, modern omnidirectional cameras are compact, lightweight and inexpensive, and are thus being integrated in an increasing number of robotic platforms and consumer devices. However, the special format of output data requires tools that are appropriate for camera calibration, signal analysis and image interpretation. This book is divided into six chapters written by world-renowned scholars. In a rigorous yet accessible way, the mathematical foundation of omnidirectional vision is presented, from image geometry and camera calibration to image processing for central and non-central panoramic systems. Special emphasis is given to fisheye cameras and catadioptric systems, which combine mirrors with lenses. The main applications of omnidirectional vision, including 3D scene reconstruction and robot localization and navigation, are also surveyed. Finally, the recent trend towards AI-infused methods (deep learning architectures) and other emerging research directions are discussed.
Author: Jun Jo
Publisher: Springer Nature
ISBN: 303126889X
Category : Technology & Engineering
Languages : en
Pages : 462
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Book Description
We are starting to enter a post-COVID-19 life. While this pandemic has made everyone’s life challenging, it also expedited the transition of our everyday lives into a new form, often called “The New Normal.” Although many people often use the terminology, perhaps we still do not have consensus about what it is and what it should be like. However, one thing that is clear namely that robotics and artificial intelligence technologies are playing a critical role in this transition phase of our everyday lives. We saw the emergence of last-mile delivery robots on the street, AI-embedded service robots in restaurants, uninhabited shops, non-face-to-face medical services, conferences and talks in metaverses, and AI-based online education programs. This book is an edition that aims at serving researchers and practitioners in related fields with a timely dissemination of the recent progress in the areas of robotics and artificial intelligence. This book is based on a collection of papers presented at the 10th International Conference on Robot Intelligence Technology and Applications (RiTA), held at Griffith University in the Gold Coast, Queensland, Australia. The conference was held in a hybrid format on December 7–9, 2022, with the main theme “Artificial, Agile, Acute Robot Intelligence.” For better readability, the total of 41 papers are grouped into five chapters: Chapter I: Motion Planning and Control; Chapter II: Vision and Image Processing; Chapter III: Unmanned Aerial Vehicles and Autonomous Vehicles; Chapter IV: Learning and Classification; and Chapter V: Environmental and Societal Robotic Applications. The articles were accepted through a rigorous peer-review process and presented at the RiTA 2022 conference. Also, they were updated, and final versions of the manuscripts were produced after in-depth discussions during the conference. We would like to thank all the authors and editors for contributing to this edition.
Author: M. Llamas-Nistal
Publisher: Springer Science & Business Media
ISBN: 9401711224
Category : Education
Languages : en
Pages : 312
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Book Description
This volume contains a selection of papers on the most up-to-date experiences in the field of computers and education. It includes most relevant case studies and novel research results addressing technical and methodological aspects of computers and educations. It is relevant to researchers, practitioners, teaching staff and developers working in e-learning, computer-based education, educational software, distributed learning, lifelong learning, and open and distance learning.
