Screen LibraryReadings in computer vision : issues, problems, principles, and paradigms /
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...
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| Corporate Authors: | |
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| Group Author: | ; |
| Published: |
M. Kaufmann Publishers,
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| Publisher Address: | Los Altos, Calif. : |
| Publication Dates: | 1987. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
http://www.sciencedirect.com/science/book/9780080515816 |
| Summary: |
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. |
| Carrier Form: | 1 online resource (xiv, 800 pages) : illustrations |
| Bibliography: | Includes bibliographical references (pages 780-794) and index. |
| ISBN: |
9780080515816 0080515819 |
| Index Number: | TA1632 |
| CLC: | TP391.4 |
| Contents: |
Front Cover; Readings in Computer Vision: Issues, Problems, Principles, and Paradigms; Copyright Page; Table of Contents; Acknowledgments; Introduction; Acknowledgments; IMAGE ANALYSIS: PROBLEMS, PROGRESS AND PROSPECTS; 1. INTRODUCTION; 2. AN IMAGE ANALYSIS PARADIGM; 3. FEATURE EXTRACTION; 4. TEXTURE ANALYSIS; 5. SURFACE ORIENTATION ESTIMATION; 6. IMAGE MATCHING; 7. RANGE ESTIMATION; 8. SEGMENTATION; 9. OBJECT REPRESENTATION; 10. MODEL MATCHING; 11. CONCLUDING REMARKS; REFERENCES; CHAPTER 1. RECOVERING SCENE GEOMETRY; A Stochastic Approach to Stereo Vision. Epipolar-Plane Image Analysis: A Technique for Analyzing Motion SequencesPreface-The Changing Shape of Computer Vision; Understanding Image Intensities; A computer algorithm for reconstructing a scene from two projections; Practical real-time imaging stereo matcher; Detection of Binocular Disparities; Hierarchical Warp Stereo; Stereo Integral Equation; Recovering the Camera Parameters from a Transformation Matrix; One-Eyed Stereo: A General Approach to Modeling 3-D Scene Geometry; An Algebraic Approach to Shape-from-Image Problems; Analysis of Visual Motion by Biological and Computer Systems. An Image Flow ParadigmCHAPTER 2. IMAGE PARTITIONING AND PERCEPTUAL ORGANIZATION; Extracting Straight Lines; A Computational Approach to Edge Detection; Linear Delineation; Perceptual Organization and Curve Partitioning; Digital Stereo Edges from Zero Crossing of Second Directional Derivatives; Parts of Recognition; Textons, The Fundamental Elements in Preattentive Vision and Perception of Textures; Mapping Image Properties into Shape Constraints: Skewed Symmetry, Aiffne-Transformable Patterns, and the Shape-from-Texture Paradigm; Analyzing Oriented Patterns. Capturing the Local Structure of Image Discontinuities in Two DimensionsSegmentation and Aggregation: An Approach to Figure-Ground Phenomena; Color Constancy: A Method for Recovering Surface Spectral Reflectance; Visual Routines; Scale-Space Filtering; Early Orientation Selection: Tangent Fields and the Dimensionality of Their Support; CHAPTER 3. RECOGNITION AND LABELING OF SCENE OBJECTS; 3DPO: A Three-Dimensional Part Orientation System; Model-Based Three-Dimensional Interpretations of Two-Dimensional Images; Special Purpose Automatic Programming for 3D Model-Based Vision. Model-Based Recognition and Localization from Sparse Range or Tactile DataRule-Based Interpretation of Aerial Imagery; CHAPTER 4. RELATIONAL DESCRIPTION; Visual Map Making for a Mobile Robot; A Heuristic Program to Solve Geometric-Analogy Problems; Problem-Solving with Diagrammatic Representations; The 3D MOSAIC Scene Understanding System: Incremental Reconstruction of 3D Scenes for Complex Images; Terrain Models for an Autonomous Land Vehicle; Experiments in Using a Theorem Prover to Prove and Develop Geometrical Theorems in Computer Vision. |