- OpenCV 3 Blueprints
- Table of Contents
- OpenCV 3 Blueprints
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Getting the Most out of Your Camera System
- 2. Photographing Nature and Wildlife with an Automated Camera
- 3. Recognizing Facial Expressions with Machine Learning
- Introducing facial expression recognition
- Finding the face region in the image
- Feature extraction
- Classification
- Evaluation
- System overview
- Further reading
- Summary
- 4. Panoramic Image Stitching Application Using Android Studio and NDK
- Introducing the concept of panorama
- The Android section – an application user interface
- Integrating OpenCV into the Android Studio
- Application showcase
- Further improvement
- Summary
- 5. Generic Object Detection for Industrial Applications
- Difference between recognition, detection, and categorization
- Smartly selecting and preparing application specific training data
- Parameter selection when training an object model
- Using scene specific knowledge and constraints to optimize the detection result
- Obtaining rotation invariance object detection
- 2D scale space relation
- Performance evaluation and GPU optimizations
- Practical applications
- Summary
- 6. Efficient Person Identification Using Biometric Properties
- Biometrics, a general approach
- Face detection and recognition
- Fingerprint identification, how is it done?
- Iris identification, how is it done?
- Combining the techniques to create an efficient people-registration system
- Summary
- 7. Gyroscopic Video Stabilization
- Index
This book is ideal for you if you aspire to build computer vision systems that are smarter, faster, more complex, and more practical than the competition. This is an advanced book, intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. You should be comfortable with computer vision concepts, object-oriented programming, graphics programming, IDEs, and the command line.
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