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Author: John E. W. Mayhew
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 296
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Book Description
3D Model Recognition from Stereoscopic Cues provides a rich, integrated account of work done within a large-scale, multisite, Alvey-funded collaborative project in computer vision. It presents a variety of methods for deriving surface descriptions from stereoscopic data and for matching those descriptions to three-dimensional models for the purposes of object recognition, vision verification, autonomous vehicle guidance, and robot workstation guidance. State of the art vision systems are. described in sufficient detail to allow researchers to replicate the results.Partial ContentsThe PMF Stereo Algorithm Project - A Dynamic Programming Algorithm for Binocular Stereo Vision - Stereo Matching Using Intra- and Inter-Row Dynamic Programming - A Computational Theory of Stereo Vision - A Piplid Architecture for the Canny Edge Detector - Estimation of Stereo and Motion Parameters Using a Variational Principle - The 2.5D Sketch Project - Segmentation and Description of Binocularly Viewed Contours - Inferring Surface Shape by Specular Stereo - Surface Descriptions from Stereo and Shading - The 3D Model-Based Vision Project - Matching Geometrical Descriptions in ThreeSpace - Advances in 3D Model Indentification from Stereo Data - Dupin's Cyclide and the Cyclide Patch - Geometric Reasoning in a Parallel Network - SMS: A Suggestive Modelling System for Object Recognition - WPFM: The Workspace Prediction and Fast Matching System - The Design of the IMAGINE II Scene Analysis Program - Overview - TINA: A 3D Vision System for Pick and Place
Author: John E. W. Mayhew
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 296
Get Book
Book Description
3D Model Recognition from Stereoscopic Cues provides a rich, integrated account of work done within a large-scale, multisite, Alvey-funded collaborative project in computer vision. It presents a variety of methods for deriving surface descriptions from stereoscopic data and for matching those descriptions to three-dimensional models for the purposes of object recognition, vision verification, autonomous vehicle guidance, and robot workstation guidance. State of the art vision systems are. described in sufficient detail to allow researchers to replicate the results.Partial ContentsThe PMF Stereo Algorithm Project - A Dynamic Programming Algorithm for Binocular Stereo Vision - Stereo Matching Using Intra- and Inter-Row Dynamic Programming - A Computational Theory of Stereo Vision - A Piplid Architecture for the Canny Edge Detector - Estimation of Stereo and Motion Parameters Using a Variational Principle - The 2.5D Sketch Project - Segmentation and Description of Binocularly Viewed Contours - Inferring Surface Shape by Specular Stereo - Surface Descriptions from Stereo and Shading - The 3D Model-Based Vision Project - Matching Geometrical Descriptions in ThreeSpace - Advances in 3D Model Indentification from Stereo Data - Dupin's Cyclide and the Cyclide Patch - Geometric Reasoning in a Parallel Network - SMS: A Suggestive Modelling System for Object Recognition - WPFM: The Workspace Prediction and Fast Matching System - The Design of the IMAGINE II Scene Analysis Program - Overview - TINA: A 3D Vision System for Pick and Place
Author: Derek Hoiem
Publisher: Morgan & Claypool Publishers
ISBN: 1608457281
Category : Computers
Languages : en
Pages : 172
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Book Description
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
Author: Roland Chin
Publisher: Springer Science & Business Media
ISBN: 9783540639305
Category : Computers
Languages : en
Pages : 794
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Book Description
These two volumes constitute the refereed proceedings of the Third Asian Conference on Computer Vision, ACCV'98, held in Hong Kong, China, in January 1998. The volumes present together a total of 58 revised full papers and 112 revised posters selected from over 300 submissions. The papers are organized in topical sections on biometry, physics-based vision, color vision, robot vision and navigation, OCR and applications, low-level processing, active vision, face and hand posture recognition, segmentation and grouping, computer vision and virtual reality, motion analysis, and object recognition and modeling.
Author: Robert E. O'Malley
Publisher: SIAM
ISBN: 9780898713022
Category : Mathematics
Languages : en
Pages : 424
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Book Description
Proceedings -- Computer Arithmetic, Algebra, OOP.
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: A. Dave Marshall
Publisher: World Scientific
ISBN: 9810207727
Category : Computers
Languages : en
Pages : 457
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Book Description
The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches to probems and then set forth their proposed approach to matching and inspection. They deal primarily with 3-D vision but also discuss 2-D vision strategies when relevant.The book is suitable for researchers, final year undergraduates and graduate students. Useful review questions at the end of each chapter allow this book to be used for self-study.
Author: Jan-Olof Eklundh
Publisher: Springer Science & Business Media
ISBN: 9783540579571
Category : Computers
Languages : en
Pages : 516
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Book Description
Computer vision - ECCV'94. -- v. 1
Author: Giulio Sandini
Publisher: Springer Science & Business Media
ISBN: 9783540554264
Category : Computers
Languages : en
Pages : 932
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Book Description
This volume collects the papers accepted for presentation at the Second European Conference on Computer Vision, held in Santa Margherita Ligure, Italy, May 19-22, 1992. Sixteen long papers, 41 short papers and 48 posters were selected from 308 submissions. The contributions are structured into 14 sections reflecting the major research topics in computer vision currently investigated worldwide. The sections are entitled: features, color, calibration and matching, depth, stereo-motion, tracking, active vision, binocular heads, curved surfaces and objects, reconstruction and shape, recognition, and applications.
Author: Stuart Jonathan Russell
Publisher: MIT Press
ISBN: 9780262181440
Category : Computers
Languages : en
Pages : 238
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Book Description
Like Mooki, the hero of Spike Lee's film Do the Right Thing artificially, intelligent systems have a hard time knowing what to do in all circumstances. Classical theories of perfect rationality prescribe the right thing for any occasion, but no finite agent can compute their prescriptions fast enough. In Do the Right Thing, the authors argue that a new theoretical foundation for artificial intelligence can be constructed in which rationality is a property of programs within a finite architecture, and their behaviour over time in the task environment, rather than a property of individual decisions.
Author: Glenn A. Kramer
Publisher: MIT Press
ISBN: 9780262111645
Category : Computers
Languages : en
Pages : 314
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Book Description
Solving Geometric Constraints records and explains the formal basis for graphical analysis techniques that have been used for decades in engineering disciplines. It describes a novel computer implementation of a 3D graphical analysis method - degrees of freedom analysis - for solving geometric constraint problems of the type encountered in the kinematic analysis of mechanical linkages, providing the best computational bounds yet achieved for this class of problems. The technique allows for the design of algorithms that provide signification speed increases and will foster the development of interactive software tools for the simulation, optimization, and design of complex mechanical devices as well as provide leverage in other geometric domains.
