Computer Vision: A Modern Approach, 2nd Edition

Computer Vision: A Modern Approach, 2e, is appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering.

This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods

Table of Contents

Part I: IMAGE FORMATION
Chapter 1 Geometric Camera Models
Chapter 2 Light and Shading
Chapter 3 Color

Part II: EARLY VISION: JUST ONE IMAGE
Chapter 4 Linear Filters
Chapter 5 Local Image Features
Chapter 6 Texture

Part III: EARLY VISION: MULTIPLE IMAGES
Chapter 7 Stereopsis
Chapter 8 Structure from Motion

Part IV: MID-LEVEL VISION
Chapter 9 Segmentation by Clustering
Chapter 10 Grouping and Model Fitting
Chapter 11 Tracking

Part V: HIGH-LEVEL VISION
Chapter 12 Registration
Chapter 13 Smooth Surfaces and Their Outlines
Chapter 14 Range Data
Chapter 15 Learning to Classify
Chapter 16 Classifying Images
Chapter 17 Detecting Objects in Images
Chapter 18 Topics in Object Recognition

Part VI: APPLICATIONS AND TOPICS
Chapter 19 Image-Based Modeling and Rendering
Chapter 20 Looking at People
Chapter 21 Image Search and Retrieval

Part VII: BACKGROUND MATERIAL
Chapter 22 Optimization Techniques