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Computer Science
Computer Vision
Computer Vision with OpenCV
1. Introduction to OpenCV
2. Core Operations and Data Structures
3. Image Processing Fundamentals
4. Histograms and Image Analysis
5. Feature Detection and Description
6. Object Detection and Recognition
7. Video Analysis and Object Tracking
8. Advanced Image Processing
9. Camera Calibration and 3D Vision
10. Deep Learning Integration
Camera Calibration and 3D Vision
Camera Model
Pinhole Camera Model
Camera Matrix Parameters
Distortion Models
Radial Distortion
Tangential Distortion
Camera Calibration Process
Calibration Pattern Detection
Chessboard Patterns
Circle Grid Patterns
Asymmetric Circle Patterns
Calibration Computation
Intrinsic Parameters
Extrinsic Parameters
Reprojection Error Analysis
Image Undistortion
Distortion Correction
Optimal Camera Matrix
Pose Estimation
PnP Problem
SolvePnP Algorithms
Iterative Method
P3P Method
EPnP Method
Pose Refinement
Stereo Vision
Stereo Camera Setup
Stereo Calibration
Rectification Process
Fundamental Matrix
Essential Matrix
Depth Estimation
Stereo Correspondence
Block Matching Algorithm
Semi-Global Block Matching
Disparity Map Generation
Depth Map Conversion
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10. Deep Learning Integration