Hands-On Algorithms for Computer Vision
Learn how to use the best and most practical computer vision algorithms using OpenCV
BIRMINGHAM - MUMBAI
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Introduction to Computer Vision
- Getting Started with OpenCV
- Array and Matrix Operations
- Drawing, Filtering, and Transformation
- Back-Projection and Histograms
- Video Analysis – Motion Detection and Tracking
- Object Detection – Features and Descriptors
- Machine Learning in Computer Vision
- Assessments
- Chapter 1, Introduction to Computer Vision
- Chapter 2, Getting Started with OpenCV
- Chapter 3, Array and Matrix Operations
- Chapter 4, Drawing, Filtering, and Transformation
- Chapter 5, Back-Projection and Histograms
- Chapter 6, Video Analysis – Motion Detection and Tracking
- Chapter 7, Object Detection – Features and Descriptors
- Chapter 8, Machine Learning in Computer Vision
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