references

### Textbooks

The required textbook is: Computer Vision Algorithms and Applications, Richard Szeliski, Springer, 2011.

- Hardcopy: available at the York Bookstore; one copy is on reserve at the Steacie Library.

Supplementary (Optional):

- Multiple View Geometry in Computer Vision, Hartley R & Zisserman A, 2004
- Pattern Recognition and Machine Learning, Bishop CM, 2006

### Tutorial References

Linear Algebra:

- For an introductory reference to linear algebra, I highly recommend the classic book by Gilbert Strang: Introduction to Linear Algebra, Strang G, 2016

- Appendix C of the Prince textbook (see above) provides a nice succinct of fundamental linear algebra methods commonly used in computer vision.

- Appendix C of the Bishop book (see above) provides a summer of useful properties of matrices.

- Appendix A of the Szeliski textbook provides a review of some of the linear algebra methods used in the book.

MATLAB:

- Mathworks provides a series of free introductory MATLAB courses

- There are also numerous tutorial documents available online (example)

references.txt · Last modified: 2018/09/16 14:22 by jelder