This book frames many of the tools and algorithms used in image processing and computer vision in an easily understood way.

Python makes many of these concepts easy to code up and try out.

It is my new favorite python book.

This book has a LOT of information packed into a small space, especially if you are new to computer vision and/or the math involved. I have found myself spending several days studying a single page, which includes looking up terms, checking Wikipedia etc. for more details, or trying out the code examples.

I guess that could be good or bad depending on how much work you're willing to do. For me it has been, overall, good.

Two things I don't like: the examples and the printing.

The examples: Many computer books either come with a CD that has the code examples on it, or gives a link to a website. Not this one. You have to hand type the code examples which may be 10 to 50 lines. Also the sample images don't seem to be available so you can't replicate the book's results.

The printing: For a topic like vision, with many sample photos throughout, color would seem to be important. But this book is printed in black and white. What's worse, many of the pages seem to have been systematically smudged. I don't know if this is unique to my copy, but many of the pages seem to be marked with a circular smear that seems to have been made while the ink was still damp. There may be several such smears on a single page, some of then smudging the images that are purportedly showing you the result of the latest image manipulation technique. To say this reduces the value of the example is an understatement.

So I guess I would give the author a 5 (best rating) and the printer or publisher a 2.

This is a very good hands-on guide for introductory computer vision programming with python. I highly recommend this book for anyone exploring computerized image recognition tasks.

This book clearly stated useful PIL functions for image processing. I was very excited to try them out. However, just when I'm about to install PIL unto my system, I found out that PIL seems to have been replaced by PILLOW. PILLOW is a fork of PIL. Here are some quotes from its website about PIL: PILLOW was established because "PIL is not setuptools compatible.... Also, PIL’s current bi-yearly (or greater) release schedule is too infrequent to accommodate the large number and frequency of issues reported", "As more time passes since the last PIL release, the likelyhood of a new PIL release decreases. However, we’ve yet to hear an official “PIL is dead” announcement." I am very disappointed that this book did not take the newer library into account.

Very interesting intro to the topic, with a good balance of theory and practice.

Received quickly. a lot om comprehensive material.

This book is clearly written by an advanced expert in Computer Vision programming.

Unfortunately, there are a few nagging elements that detract from the beginner's experience.

For example, new terms such as "eigenvectors" are introduced in Chapter 1 without a description of what they mean. Example code is sometimes split up into sections, interspersed with the text, making it more difficult to type in. The small font size also tends to be a bit of a distraction.

According to the back cover, "This book is ideal for...enthusiasts with basic programming and standard mathematical skills." I'm a programmer and use Python at work, and am an "enthusiast" but have no prior CV experience. Perhaps the SimpleCV book (also from O'Reilly) would be a better intro for CV newbies in grappling this complex subject... maybe there is even a market for "CV for Dummies" style books?

Everything was fine

Good intro to computer vision. Oreilly hits the spot once again.

Good price and prompt delivery

Que dire de ce livre ?

Des formules de maths par çi, par là. Des codes très peu expliqués.

Ni l'amateur de mathématique, ni le programmeur soucieux d'apprendre à utiliser des outils avancés ne trouvera son compte dans ce livre.

Très décevant !

Most of the books either uses OpenCV bluntly or goes exhaustive theoretical/mathematical to explain computer vision concepts. This is the only which explains basics along with coding from scratch (instead of just using opencv api) in a simple and understandable for a software engineer. Best for software engineers who wishes to learn computer vision core concepts.

Excelente estado