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OpenCV with Python By Example

By : Prateek Joshi
Book Image

OpenCV with Python By Example

By: Prateek Joshi

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OpenCV with Python By Example
Prateek Joshi
Sep, 2015 | 296 pages
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Table of Contents (19 chapters)
OpenCV with Python By Example
OpenCV with Python By Example
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Applying Geometric Transformations to Images
Applying Geometric Transformations to Images
Installing OpenCV-Python
Reading, displaying, and saving images
Image color spaces
Image translation
Image rotation
Image scaling
Affine transformations
Projective transformations
Image warping
Summary
2
Detecting Edges and Applying Image Filters
Detecting Edges and Applying Image Filters
2D convolution
Blurring
Edge detection
Motion blur
Sharpening
Embossing
Erosion and dilation
Creating a vignette filter
Enhancing the contrast in an image
Summary
3
Cartoonizing an Image
Cartoonizing an Image
Accessing the webcam
Keyboard inputs
Mouse inputs
Interacting with a live video stream
Cartoonizing an image
Summary
4
Detecting and Tracking Different Body Parts
Detecting and Tracking Different Body Parts
Using Haar cascades to detect things
What are integral images?
Detecting and tracking faces
Fun with faces
Detecting eyes
Fun with eyes
Detecting ears
Detecting a mouth
It's time for a moustache
Detecting a nose
Detecting pupils
Summary
5
Extracting Features from an Image
Extracting Features from an Image
Why do we care about keypoints?
What are keypoints?
Detecting the corners
Good Features To Track
Scale Invariant Feature Transform (SIFT)
Speeded Up Robust Features (SURF)
Features from Accelerated Segment Test (FAST)
Binary Robust Independent Elementary Features (BRIEF)
Oriented FAST and Rotated BRIEF (ORB)
Summary
6
Creating a Panoramic Image
Creating a Panoramic Image
Matching keypoint descriptors
Creating the panoramic image
What if the images are at an angle to each other?
Summary
7
Seam Carving
Seam Carving
Why do we care about seam carving?
How does it work?
How do we define "interesting"?
How do we compute the seams?
Can we expand an image?
Can we remove an object completely?
Summary
8
Detecting Shapes and Segmenting an Image
Detecting Shapes and Segmenting an Image
Contour analysis and shape matching
Approximating a contour
Identifying the pizza with the slice taken out
How to censor a shape?
What is image segmentation?
Watershed algorithm
Summary
9
Object Tracking
Object Tracking
Frame differencing
Colorspace based tracking
Building an interactive object tracker
Feature based tracking
Background subtraction
Summary
10
Object Recognition
Object Recognition
Object detection versus object recognition
What is a dense feature detector?
What is a visual dictionary?
What is supervised and unsupervised learning?
What are Support Vector Machines?
How do we actually implement this?
Summary
11
Stereo Vision and 3D Reconstruction
Stereo Vision and 3D Reconstruction
What is stereo correspondence?
What is epipolar geometry?
Building the 3D map
Summary
12
Augmented Reality
Augmented Reality
What is the premise of augmented reality?
What does an augmented reality system look like?
Geometric transformations for augmented reality
What is pose estimation?
How to track planar objects?
How to augment our reality?
Let's add some movements
Summary
Index
Index

Credits

Author

Prateek Joshi

Reviewers

Will Brennan

Gabriel Garrido Calvo

Pavan Kumar Pavagada Nagaraja

Marvin Smith

Commissioning Editor

Deepika Gaonkar

Acquisition Editor

Tushar Gupta

Content Development Editor

Sumeet Sawant

Technical Editor

Ryan Kochery

Copy Editors

Merilyn Pereira

Angad Singh

Project Coordinator

Shweta H Birwatkar

Proofreader

Safis Editing

Indexer

Tejal Daruwale Soni

Graphics

Jason Monteiro

Production Coordinator

Manu Joseph

Cover Work

Manu Joseph

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