diff --git a/free-programming-books.md b/free-programming-books.md
index 28eb81487..ae3cadfd3 100644
--- a/free-programming-books.md
+++ b/free-programming-books.md
@@ -301,6 +301,13 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
 * [Practical and Theoretical Aspects of Compiler Construction](http://www.stanford.edu/class/archive/cs/cs143/cs143.1128/) (class lectures and slides)
 
 
+#### Computer Vision
+* [Computer Vision](http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/bandb.htm) - Dana Ballard, Chris Brown
+* [Computer Vision: Algorithms and Applications](http://szeliski.org/Book/) - Richard Szeliski
+* [Computer Vision: Models, Learning, and Inference](http://www.computervisionmodels.com/) - Simon J.D. Prince
+* [Programming Computer Vision with Python](http://programmingcomputervision.com/) - Jan Erik Solem
+
+
 #### Database
 * [Big Data Now: Current Perspectives from O'Reilly Radar](http://shop.oreilly.com/product/0636920022640.do)
 * [Database Fundamentals](http://public.dhe.ibm.com/software/dw/db2/express-c/wiki/Database_fundamentals.pdf) (PDF)
@@ -337,7 +344,6 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
 * [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
 * [Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)*
 * [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
-* [Computer Vision: Algorithms and Applications](http://hackershelf.com/book/134/computer-vision-algorithms-and-applications/)
 * [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
 * [Inductive Logic Programming](http://www-ai.ijs.si/SasoDzeroski/ILPBook/)
 * [Information Theory, Inference, and Learning Algorithms](http://www.inference.phy.cam.ac.uk/itila/)
@@ -348,7 +354,6 @@ Original Source: [Free Programming books](http://stackoverflow.com/revisions/392
 * [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/whole.pdf) (PDF) or [online version](http://www1.maths.leeds.ac.uk/~charles/statlog/) - This book is based on the EC (ESPRIT) project StatLog.
 * [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
 * [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
-* [Programming Computer Vision with Python](http://programmingcomputervision.com/) - Jan Erik Solem
 * [Reinforcement Learning: An Introduction](http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html)
 * [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
 * [The LION Way: Machine Learning plus Intelligent Optimization](http://www.e-booksdirectory.com/details.php?ebook=9575)