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ویرایش: نویسندگان: Martin A Fischler, Oscar Firschein سری: ISBN (شابک) : 9780080515816, 0080515819 ناشر: M. Kaufmann Publishers, , Elsevier Inc سال نشر: 1987 تعداد صفحات: 806 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 58 مگابایت
در صورت تبدیل فایل کتاب Readings in computer vision : issues, problems, principles, and paradigms به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب خواندن در بینایی رایانه: مسائل ، مشکلات ، اصول و پارادایم ها نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
حوزه بینایی کامپیوتر تکنیکهایی از فیزیک، ریاضیات، روانشناسی، هوش مصنوعی و علوم کامپیوتر را ترکیب میکند تا بررسی کند که ماشینها چگونه میتوانند توصیفهای معناداری از محیط اطراف خود بسازند. ویراستاران این جلد، محققان برجسته و رهبران گروه ادراک مرکز بین المللی هوش مصنوعی SRI، شصت مقاله را انتخاب کرده اند که اکثر آنها از سال 1980 منتشر شده اند، با این دیدگاه که بینایی کامپیوتر با حل هفت مشکل اساسی مرتبط است:
هر فصل از این جلد از طریق یک بحث مقدماتی، که ایدههای اصلی را شناسایی میکند و رویکردها را خلاصه میکند، و از طریق تجدید چاپ مقالات تحقیقاتی کلیدی، به یکی از این مشکلات میپردازد. دو ضمیمه در مورد مفروضات مهم در تفسیر تصویر و معماری های موازی برای کاربردهای بینایی، واژه نامه اصطلاحات فنی، و کتابشناسی و فهرست جامع کامل کننده جلد است.
The field of computer vision combines techniques from physics, mathematics, psychology, artificial intelligence, and computer science to examine how machines might construct meaningful descriptions of their surrounding environment. The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems:
Each chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Two appendices on crucial assumptions in image interpretation and on parallel architectures for vision applications, a glossary of technical terms, and a comprehensive bibliography and index complete the volume.
Content:
Other Titles in the Morgan Kaufmann Readings Series, Page ii
Front Matter, Page iii
Copyright, Page iv
Acknowledgments, Pages xi-xiv
Introduction, Pages 1-2
IMAGE ANALYSIS: PROBLEMS, PROGRESS AND PROSPECTS, Pages 3-12, AZRIEL ROSENFELD
Introduction to Recovering Scene Geometry, Pages 13-20
A STOCHASTIC APPROACH TO STEREO VISION, Pages 21-25, Stephen T. Barnard
EPIPOLAR-PLANE IMAGE ANALYSIS: A TECHNIQUE FOR ANALYZING MOTION SEQUENCES, Pages 26-36, Robert C. Bolles, H. Harlyn Baker
Preface—The Changing Shape of Computer Vision, Pages 37-44, Michael Brady
Understanding Image Intensities, Pages 45-60, Berthold K.P. Horn
A computer algorithm for reconstructing a scene from two projections, Pages 61-62, H.C. Longuet-Higgins
Practical real-time imaging stereo matcher, Pages 63-72, H.K. Nishihara
Detection of Binocular Disparities, Pages 73-79, K. Prazdny
Hierarchical Warp Stereo, Pages 80-86, Lynn H. Quam
Stereo Integral Equation, Pages 87-92, Grahame B. Smith
Recovering the Camera Parameters from a Transformation Matrix, Pages 93-100, Thomas M. Strat
One-Eyed Stereo: A General Approach to Modeling 3-D Scene Geometry, Pages 101-112, THOMAS M. STRAT, MARTIN A. FISCHLER
An Algebraic Approach to Shape-from-Image Problems, Pages 113-131, Kokichi Sugihara
Analysis of Visual Motion by Biological and Computer Systems, Pages 132-144, Shimon Ullman
AN IMAGE FLOW PARADIGM, Pages 145-168, Allen M. Waxman
Introduction to Image Partitioning and Perceptual Organization, Pages 169-179
EXTRACTING STRAIGHT LINES, Pages 180-183, J. Brian Burns, Allen R. Hanson, Edward M. Riseman
A Computational Approach to Edge Detection, Pages 184-203, JOHN CANNY
LINEAR DELINEATION, Pages 204-209, Martin A. Fischler, Helen C. Wolf
Perceptual Organization and Curve Partitioning, Pages 210-215, MARTIN A. FISCHLER, ROBERT C. BOLLES
Digital Step Edges from Zero Crossing of Second Directional Derivatives, Pages 216-226, ROBERT M. HARALICK
Parts of recognition, Pages 227-242, D.D. HOFFMAN, W.A. RICHARDS
Human Factors and Behavioral Science: Textons, The Fundamental Elements in Preattentive Vision and Perception of Textures, Pages 243-256, B. JULESZ, J.R. BERGEN
Mapping Image Properties into Shape Constraints: Skewed Symmetry, Affine-Transformable Patterns, and the Shape-from-Texture Paradigm, Pages 257-267, Takeo Kanade, John R. Kender
ANALYZING ORIENTED PATTERNS, Pages 268-276, Michael Kass, Andrew Witkin
Capturing the Local Structure of Image Discontinuities in Two Dimensions, Pages 277-281, Yvan Leclerc
SEGMENTATION AND AGGREGATION: AN APPROACH TO FIGURE-GROUND PHENOMENA, Pages 282-292, David G. Lowe, Thomas O. Binford
Color constancy: a method for recovering surface spectral reflectance, Pages 293-297, Laurence T. Maloney, Brian A. Wandell
Visual routines, Pages 298-328, SHIMON ULLMAN
SCALE-SPACE FILTERING, Pages 329-332, Andrew P. Witkin
Early Orientation Selection: Tangent Fields and the Dimensionality of Their Support, Pages 333-347, STEVEN W. ZUCKER
Introduction to Recognition and Labeling of Scene Objects, Pages 349-354
3DPO: A Three-Dimensional Part Orientation System, Pages 355-359, Robert C. Bolles, Patrice Horaud, Marsha Jo Hannah
Model-Based Three-Dimensional Interpretations of Two-Dimensional Images, Pages 360-370, RODNEY A. BROOKS
SPECIAL PURPOSE AUTOMATIC PROGRAMMING FOR 3D MODEL-BASED VISION, Pages 371-381, Chris Goad
Model-Based Recognition and Localization from Sparse Range or Tactile Data, Pages 382-414, W. Eric, L. Grimson, Tomás Lozano-Pérez
Rule-Based Interpretation of Aerial Imagery, Pages 415-430, DAVID M. McKEOWN JR., WILSON A. HARVEY JR., JOHN McDERMOTT
Introduction to Relational Description, Pages 431-437
Visual Map Making for a Mobile Robot, Pages 438-443, Rodney A. Brooks
A HEURISTIC PROGRAM TO SOLVE GEOMETRIC-ANALOGY PROBLEMS, Pages 444-455, Thomas G. Evans
Problem-Solving with Diagrammatic Representations, Pages 456-470, Brian V. Funt
The 3D MOSAIC Scene Understanding System: Incremental Reconstruction of 3D Scenes from Complex Images, Pages 471-482, Martin Herman, Takeo Kanade
TERRAIN MODELS FOR AN AUTONOMOUS LAND VEHICLE, Pages 483-491, Daryl T. Lawton, Tod S. Levitt, Chris McConnell, Jay Glicksman
Experiments in Using a Theorem Prover to Prove and Develop Geometrical Theorems in Computer Vision, Pages 492-497, Michael J. Swain, Joseph L. Mundy
Knowledge organization and its role in representation and interpretation for time-varying data: the ALVEN system, Pages 498-514, JOHN K. TSOTSOS
Introduction to Vision System Architectures and Computational Paradigms, Pages 515-521
A Learning Algorithm for Boltzmann Machines, Pages 522-533, DAVID H. ACKLEY, GEOFFREY E. HINTON, TERRENCE J. SEJNOWSKI
Parameter Nets, Pages 534-550, Dana H. Ballard
Image processing by simulated annealing, Pages 551-561, P. Carnevali, L. Coletti, S. Patarnello
Stuart Geman and Donald Geman, “Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images”;, Pages 562-563, Grahame B. Smith
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, Pages 564-584, STUART GEMAN, DONALD GEMAN
On the Foundations of Relaxation Labeling Processes, Pages 585-605, ROBERT A. HUMMEL, STEVEN W. ZUCKER
Optimization by Simulated Annealing, Pages 606-615, S. Kirkpatrick, C.D. Gelatt Jr., M.P. Vecchi
Visual Information Processing: Artificial Intelligence and the Sensorium of Sight, Pages 616-637, David Marr, H. Keith Nishihara
Computational vision and regularization theory, Pages 638-643, Tomaso Poggio, Vincent Torre, Christof Koch
Introduction to Representations and Transformations, Pages 645-651
INTERACTIVE GRAPHICS IN DATA PROCESSING: Geometry for construction and display, Pages 652-660, D.V. Ahuja, S.A. Coons
GLOBAL AND LOCAL DEFORMATIONS OF SOLID PRIMITIVES, Pages 661-670, Alan H. Barr
The Laplacian Pyramid as a Compact Image Code, Pages 671-679, PETER J. BURT, EDWARD H. ADELSON
Perceptual Organization and the Representation of Natural Form, Pages 680-699, Alex P. Pentland
Codon Constraints on Closed 2D Shapes, Pages 700-708, WHITMAN RICHARDS, DONALD D. HOFFMAN
Introduction to Matching, Model Fitting, Deduction and Information Integration, Pages 709-713
GENERALIZING THE HOUGH TRANSFORM TO DETECT ARBITRARY SHAPES, Pages 714-725, D.H. BALLARD
Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, Pages 726-740, Martin A. Fischler, Robert C. Bolles
Detection of Roads and Linear Structures in Low-Resolution Aerial Imagery Using a Multisource Knowledge Integration Technique, Pages 741-752, M.A. FISCHLER, J.M. TENENBAUM, H.C. WOLF
Representations based on Zero-crossings in Scale-Space, Pages 753-758, Robert A. Hummel
SIGNAL MATCHING THROUGH SCALE SPACE, Pages 759-764, Andrew Witkin, Demetri Terzopoulos, Michael Kass
Appendix A - Key Ideas, Assumptions, and Open Issues in Computer Vision, Pages 765-767
Appendix B - Parallel Computer Architectures for Computer Vision, Pages 768-772
Glossary, Pages 773-779
Bibliography, Pages 780-794
Subject Index, Pages 795-799
Author Index, Pages 799-800