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OpenCV 4 for Secret Agents

You're reading from   OpenCV 4 for Secret Agents Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789345360
Length 336 pages
Edition 2nd Edition
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Authors (2):
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Joseph Howse Joseph Howse
Author Profile Icon Joseph Howse
Joseph Howse
Arun Ponnusamy Arun Ponnusamy
Author Profile Icon Arun Ponnusamy
Arun Ponnusamy
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Table of Contents (16) Chapters Close

Preface 1. Section 1: The Briefing FREE CHAPTER
2. Preparing for the Mission 3. Searching for Luxury Accommodations Worldwide 4. Section 2: The Chase
5. Training a Smart Alarm to Recognize the Villain and His Cat 6. Controlling a Phone App with Your Suave Gestures 7. Equipping Your Car with a Rearview Camera and Hazard Detection 8. Creating a Physics Simulation Based on a Pen and Paper Sketch 9. Section 3: The Big Reveal
10. Seeing a Heartbeat with a Motion-Amplifying Camera 11. Stopping Time and Seeing like a Bee 12. Making WxUtils.py Compatible with Raspberry Pi
13. Learning More about Feature Detection in OpenCV
14. Running with Snakes (or, First Steps with Python)
15. Other Books You May Enjoy

Further fun with finding felines

Kittydar (short for kitty radar), by Heather Arthur, is an open source, JavaScript library for detecting upright frontal cat faces. You can find its demo application at http://harthur.github.io/kittydar/ and its source code at https://github.com/harthur/kittydar.

Another detector for upright frontal cat faces was developed by Microsoft Research using the Microsoft Cat Dataset 2008. The detector is described in the following research paper, but no demo application or source code has been released:

Weiwei Zhang, Jian Sun, and Xiaoou Tang. Cat Head Detection - How to Effectively Exploit Shape and Texture Features, Proc. of European Conf. Computer Vision, vol. 4, pp. 802-816, 2008.

If you know of other work on cat detectors, recognizers, or datasets, please write to tell me about it!

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