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OpenCV 3 Blueprints
最新章節：
Index
Thisbookisidealforyouifyouaspiretobuildcomputervisionsystemsthataresmarter,faster,morecomplex,andmorepracticalthanthecompetition.ThisisanadvancedbookintendedforthosewhoalreadyhavesomeexperienceinsettingupanOpenCVdevelopmentenvironmentandbuildingapplicationswithOpenCV.Youshouldbecomfortablewithcomputervisionconcepts,object-orientedprogramming,graphicsprogramming,IDEs,andthecommandline.
目錄(77章)
倒序
- 封面
- 版權頁
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Basic installation guides
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Getting the Most out of Your Camera System
- Coloring the light
- Capturing the subject in the moment
- Rounding up the unusual suspects
- Supercharging the PlayStation Eye
- Supercharging the ASUS Xtion PRO Live and other OpenNI-compliant depth cameras
- Supercharging the GS3-U3-23S6M-C and other Point Grey Research cameras
- Shopping for glass
- Summary
- Chapter 2. Photographing Nature and Wildlife with an Automated Camera
- Planning the camera trap
- Controlling a photo camera with gPhoto2
- Detecting the presence of a photogenic subject
- Processing images to show subtle colors and motion
- Further study
- Summary
- Chapter 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
- Chapter 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
- Chapter 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
- Chapter 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
- Chapter 7. Gyroscopic Video Stabilization
- Stabilization with images
- Stabilization with hardware
- A hybrid of hardware and software
- The math
- Project overview
- Capturing data
- Android specifics
- Calibration
- Rolling shutter compensation
- What's next?
- Summary
- Index 更新時間：2021-08-05 16:36:13
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