Programming Computer Vision with Python: Tools and algorithms for analyzing images 1st Edition

by Jan Erik Solem (Author)

63 ratings

ISBN-13: 978-1449316549

ISBN-10: 1449316549

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If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.

Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.

Learn techniques used in robot navigation, medical image analysis, and other computer vision applications
Work with image mappings and transforms, such as texture warping and panorama creation
Compute 3D reconstructions from several images of the same scene
Organize images based on similarity or content, using clustering methods
Build efficient image retrieval techniques to search for images based on visual content
Use algorithms to classify image content and recognize objects
Access the popular OpenCV library through a Python interface

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Editorial Reviews

About the Author

Jan Erik Solem is a Python enthusiast and a computer vision researcher and entrepreneur. He is an applied mathematician and has worked as associate professor, startup CTO, and now also book author. He sometimes writes about computer vision and Python on his blog www.janeriksolem.net. He has used Python for computer vision in teaching, research and industrial applications for many years. He currently lives in San Francisco.

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Product details

Publisher ‏ : ‎ O'Reilly Media; 1st edition (July 10, 2012)
Language ‏ : ‎ English
Paperback ‏ : ‎ 264 pages
ISBN-10 ‏ : ‎ 1449316549
ISBN-13 ‏ : ‎ 978-1449316549
Item Weight ‏ : ‎ 15.2 ounces
Dimensions ‏ : ‎ 7 x 0.68 x 9.19 inches

Best Sellers Rank: #827,044 in Books (See Top 100 in Books)
- #179 in Computer Vision & Pattern Recognition
- #539 in Computer Graphics
- #707 in Graphics & Multimedia Programming

Customer Reviews:
63 ratings

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Customer reviews

5 star		54%
4 star		23%
3 star		13%
2 star		6%
1 star		4%

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Top reviews from the United States

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Casper Chauncey

High information density

Reviewed in the United States on June 28, 2014

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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.

17 people found this helpful

Helpful

Cold day in the hell

Copy and pasted from internet!

Reviewed in the United States on April 19, 2019

Verified Purchase

This book is all about copied and pasted from internet. Read the index and simply google it.

2 people found this helpful

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Kevin Carlson

Interesting, but not for beginners

Reviewed in the United States on August 31, 2012

Verified Purchase

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?

8 people found this helpful

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Joni Kamarainen

Great reference book with code examples

Reviewed in the United States on April 13, 2015

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Great reference book with code examples for anyone already familiar with the basics. This book covers state-of-the-art stuff with simple but intuitive examples and the text is very well written in short and concise form. Would be suitable course book for a computer vision course, but probably not perfect for self-studying for someone with no background in computer vision. Definitely worth to read!

5 people found this helpful

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Y. Emre

not a beginner's book but nice examples

Reviewed in the United States on August 2, 2015

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It is one of the easy to read books if you have enough background on python and image processing, not a beginner's book though. It has nice examples which explain the concepts very well

2 people found this helpful

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uslex

Excellent!

Reviewed in the United States on May 12, 2013

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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.

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David B Rhodes

I just love it.

Reviewed in the United States on August 26, 2013

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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.

2 people found this helpful

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mucing

Four Stars

Reviewed in the United States on January 19, 2017

Verified Purchase

It would be perfect if it focus on more real case or projects

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D. A. Robinson

Not sure about this one

Reviewed in the United Kingdom on May 26, 2014

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I wasn't sure whether to give this a 3 or 4 star rating. I have been in the field of DSP and Image Processing for many years, so am no slouch in the subject. I just needed a tome which would link my knowledge of Image Processing with my knowledge of Python. It so happened that the particular algorithms I was interested in were dealt with in this book, so almost within minutes I was up and running, so from this point of view it should be worth 5 * . But looking through the book, it seems to cover a random selection of techniques, and doesn't really explain what they are for, or any background to the algorithm. From that point of view it only rates say 3*. So I would say that if you know how to program in Python, and have a copy of say W. Pratt's "Digital Image Processing" in your library, its a reasonable purchase to link the 2. If however you are hoping to learn anything about Computer Vision from the book, then look elsewhere.

8 people found this helpful

Balamurugan S

Awesome!!!

Reviewed in India on March 3, 2022

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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.

Rakesh Parmar

Reviewed in India on June 23, 2021

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Ok book with lots of code but few explanations and no derivation of maths equations.

One person found this helpful

Uriel

Poco matratado

Reviewed in Mexico on February 22, 2020

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Me llegóun poco doblado de las hojas y el libro no venía empaquetado

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Amazon Customer

Four Stars

Reviewed in India on February 4, 2018

Verified Purchase

Good

2 people found this helpful

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Programming Computer Vision with Python: Tools and algorithms for analyzing images 1st Edition

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Jan Erik Solem

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