- Part 1: Image Formation and Image Models
- Cameras
- Pinhole cameras, including perspective and affine projection
- Cameras with lenses, including geometric optics, thin lenses and real lenses
- The human eye
- Sensing, including CCD cameras and sensor models
-
Geometric Camera Models
- Elements of analytical Euclidean Geometry, including coordinate systems,
homogenous coordinates, and rigid transformations
- Camera parameters and perspective projection, including intrinsic and extrinsic parameters
- Affine cameras and affine projection
-
Geometric Camera Calibration
- Least squares parameter estimation, including linear least squares
- A linear approach to camera calibration, including estimation of the projection matrix, extrinsic and intrinsic parameters and degenerate point configurations
- Taking radial distortion into account, including estimation of the projection matrix, extrinsic and intrinsic parameters and degenerate point configurations
- Analytical photogrammetry
- An application: mobile robot localization
-
Radiometry --- Measuring Light
-
Sources, Shadows and Shading
-
Color
- Part II: Early Vision: Just One Image
- Linear Filters
-
Edge Detection
-
Texture
-
Part III: Early Vision: Multiple Images
- The Geometry of Multiple Views
-
Stereopsis
- Affine Structure from Motion
- Projective Structure from Motion
- Part IV: Mid-Level Vision
- Segmentation by Clustering
- Segmentation by Fitting a Model
- Segmentation and Fitting using Probabilistic Methods
- Tracking with Linear Dynamic Models
- Part V: High-level Vision: Geometric Methods
- Model-Based Vision
- Smooth Surfaces and their Outlines
- Aspect Graphs
- Range Data
- Part VI: High-level Vision: Probabilistic and Inferential Methods
- Finding Templates using Classifiers
- Recognition by Relations between Templates
- Geometric Templates from Spatial Relations
- Part VII: Applications
- Application: Finding in Digital Libraries
- Application: Image-based Rendering
- Bibliography
- Index