Programming Computer Vision with Python Tools and Algorithms for Analyzing Images

Name: Programming Computer Vision with Python Tools and Algorithms for Analyzing Images
Price: 10.32 USD
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ISBN: 9781449316549

ISBN-10: 1449316549

ISBN-13: 9781449316549

Edition: 2012

Authors: Jan Solem

List price: $79.99

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Description:

If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, you’ll learn as you follow examples written in Python—the easy-to-learn language that has modules for handling images and mathematical computing and data mining on a par with commercial alternatives.Programming Computer Vision with Pythonteaches computer vision in broad terms that won’t bog you down in theory. Instead, you’ll find this book to be inspiring and motivating. You’ll get all the code you need, with clear explanations on how to reproduce the book’s examples and build upon them directly.

Book details

List price: $79.99
Copyright year: 2012
Publisher: O'Reilly Media, Incorporated
Publication date: 6/29/2012
Binding: Paperback
Pages: 272
Size: 7.05" wide x 9.09" long x 0.57" tall
Weight: 0.946
Language: English

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.



Preface



Basic Image Handling and Processing



PIL-The Python Imaging Library



Matplotlib



NumPy



SciPy



Advanced Example: Image De-Noising


Exercises


Conventions for the Code Examples



Local Image Descriptors



Harris Corner Detector



SIFT-Scale-Invariant Feature Transform



Matching Geotagged Images


Exercises



Image to Image Mappings



Homographies



Warping Images



Creating Panoramas


Exercises



Camera Models and Augmented Reality



The Pin-Hole Camera Model



Camera Calibration



Pose Estimation from Planes and Markers



Augmented Reality


Exercises



Multiple View Geometry



Epipolar Geometry



Computing with Cameras and 3D Structure



Multiple View Reconstruction



Stereo Images


Exercises



Clustering Images



K-Means Clustering



Hierarchical Clustering



Spectral Clustering


Exercises



Searching Images



Content-Based Image Retrieval



Visual Words



Indexing Images



Searching the Database for Images



Ranking Results Using Geometry



Building Demos and Web Applications


Exercises



Classifying Image Content



K-Nearest Neighbors



Bayes Classifier



Support Vector Machines



Optical Character Recognition


Exercises



Image Segmentation



Graph Cuts



Segmentation Using Clustering



Variational Methods


Exercises



OpenCV



The OpenCV Python Interface



OpenCV Basics



Processing Video



Tracking



More Examples


Exercises



Installing Packages



NumPy and SciPy



Matplodib



PIL



LibSVM



OpenCV



VLFeat



PyGame



PyOpenGL



Pydot



Python-graph



Simplejson



PySQLite



CherryPy



Image Datasets



Flickr



Panoramio



Oxford Visual Geometry Group



University of Kentucky Recognition Benchmark Images



Other



Image Credits



Images from Flickr



Other Images



Illustrations


References


Index