Untitled Document

Lecture Slides

	The following slides are provided to supplement class lectures
	Note that these slides are neither complete nor substitute for in-class lecture
	More comprehensive discussions of topics are provided in-class.

Chapter 1 Introduction (Primary Ref: Ponce, Prentice Hall and Trucco and Verri, Prentice Hall)

Chapter 1.1 Review (linear algebra, matrix theory, geometry)

Chapter 2 Digital snapshots/ Images/Camera modeling (Ref: Trucco and Verri, Prentice Hall; Frosyth and Ponce, Prentice Hall)

Chapter 2.1 Mathematical details of Chapter 2

Chapter 2.2 Basics on 3D Geometrical Transform

Chapter 3 Noise filtering (Ref: Gonzalez and Woods, Prentice Hall; Trucco and Verri, Prentice Hall; Frosyth and Ponce, Prentice Hall)

Chapter 3.1 Frequency domain filtering (Ref. Frosyth and Ponce, Prentice Hall)

Chapter 3.2 Distortion Invariance

Chapter 4 Image features (Ref: Gonzalez and Woods, Prentice Hall; Trucco and Verri, Prentice Hall; Frosyth and Ponce, Prentice Hall)

Chapter 5 More image features (Trucco and Verri, Prentice Hall; Frosyth and Ponce, Prentice Hall)

Chapter 6 Image segment clustering and grouping (Ref: Frosyth and Ponce, Prentice Hall and ISIP Lab)

Chapter 7 Camera calibration (Ref: Trucco and Verri, Prentice Hall)

Chapter 8 Stereo Vision (Trucco and Verri, Prentice Hall; Frosyth and Ponce, Prentice Hall)

Chapter 9 Motion (Ref: Trucco and Verri, Prentice Hall)

Chapter 10 Texture and Shadow (Ref: Frosyth and Ponce, Prentice Hall and Trucco and Verri, Prentice Hall)

Chapter11 Recognition

Appendix (Ref: Trucco and Verri, Prentice Hall)

For any questions, please contact Dr. Iftekharuddin