Mastering OpenCV Android Application Programming > PACKT 원서리스트

1: Applying Effects to Images
Getting started
Setting up OpenCV
Storing images in OpenCV
Linear filters in OpenCV
Summary

2: Detecting Basic Features in Images
Creating our application
Edge and Corner detection
Hough transformations
Contours
Project detecting a Sudoku puzzle in an image
Summary

3: Detecting Objects
What are features?
Scale Invariant Feature Transform
Matching features and detecting objects
Speeded Up Robust Features
Oriented FAST and Rotated BRIEF
Binary Robust Invariant Scalable Keypoints
Fast Retina Keypoint
Summary

4: Drilling Deeper into Object Detection – Using Cascade Classifiers
An introduction to cascade classifiers
Face detection using the cascade classifier
HOG descriptors
Project Happy Camera
Summary

5: Tracking Objects in Videos
Optical flow
Image pyramids
Basic 2D transformations
Global motion estimation
The Kanade-Lucas-Tomasi tracker
Summary

6: Working with Image Alignment and Stitching
Image stitching
Summary

7: Bringing Your Apps to Life with OpenCV Machine Learning
Optical Character Recognition
Solving a Sudoku puzzle
Summary

8: Troubleshooting and Best Practices
Troubleshooting errors
Best practices
Summary

9: Developing a Document Scanning App
Let's begin
The algorithm
Implementing on Android
Summary

Appendix A: Index