This book gives a hands-on introduction to the
underlying theory and algorithms of computer vision (images, videos,
etc). It seeks to explain computer vision in simple terms, without
becoming too embroiled in theory. You will learn techniques for
object recognition, 3D reconstruction, stereo imaging, augmented
reality, and other computer vision applications as you follow clear
examples written in Python. There are complete code samples with
accompanying explanations.
The Python language compes with many powerful modules
for handling images, mathematical computing and data mining.
The final draft of the book is released under a Creative
Commons license.
Topics covered include:
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
This textbook is designed to serve as a text for a first
course on data structures and algorithms, typically taught as the
second course in the computer science curriculum.
The objectives of this book are:
To review the ideas of computer science, programming,
and problem-solving
To understand abstraction and the role it plays in
the problem-solving process
To understand and implement the notion of an abstract
data type
To review the Python programming language
Getting started with data
Built-in atomic data types
Built-in collection data types
Input and output
String formatting
Control structures
Exception handling
Defining functions
Object-oriented programming in Python
Discussion questions
Programming exercises
19. The Art and Craft of Programming Python Edition
This book is designed to be used as the primary textbook
in a college-level first course in computing. It takes a fairly
traditional approach, emphasizing problem solving, design, and
programming as the core skills of computer science. However, these
ideas are illustrated using Python.
Although Python is used as the language, teaching Python
is not the focus of this book. Rather, Python is used to illustrate
fundamental principles of design and programming that apply in any
language or computing environment. In some places, the author has
deliberately avoided certain Python features and idioms that
are not generally found in other languages. There are already many good
books about Python on the market; this book is intended as an
introduction to computing.
This book describes Python, an open-source
general-purpose interpreted programming language. It is licensed
under Creative Commons
Attribution-Share Alike 3.0 license.
Topics covered include:
Basic syntax, data types, numbers, strings, lists,
dictionaries, sets, operators
Flow control, functions, scoping, exceptions, input
and output
Modules, classes, metaclasses, regular expression
GUI programming covering Tkinter, PyGTK, PyQt,
wxPython, Dabo, pyFltk, and other toolkits
