A Comprehensive Solution Manual for Computer Vision: A Modern Approach, 2/E By David A. Forsyth, University of Illinois at Urbana-Champaign Jean Ponce, Ecole Normale Superieure, Paris
2 Light and Shading
3 Color
II EARLY VISION: JUST ONE IMAGE
4 Linear Filters
5 Local Image Features
6 Texture
III EARLY VISION: MULTIPLE IMAGES
7 Stereopsis
8 Structure from Motion
IV MID-LEVEL VISION
9 Segmentation by Clustering
10 Grouping and Model Fitting
11 Tracking
V HIGH-LEVEL VISION
12 Registration
13 Smooth Surfaces and Their Outlines
14 Range Data
15 Learning to Classify
16 Classifying Images
17 Detecting Objects in Images
18 Topics in Object Recognition
VI APPLICATIONS AND TOPICS
19 Image-Based Modeling and Rendering
20 Looking at People
21 Image Search and Retrieval
VII BACKGROUND MATERIAL
22 Optimization Techniques
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