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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
Feature Detection and Description
Feature Concepts
Corner Features
Blob Features
Edge Features
Feature Quality Metrics
Repeatability
Distinctiveness
Invariance Properties
Corner Detection Algorithms
Harris Corner Detection
Response Function Calculation
Parameter Tuning
Corner Response Thresholding
Shi-Tomasi Corner Detection
Minimum Eigenvalue Method
Quality Level Parameter
Modern Feature Detectors
SIFT Algorithm
Scale-Space Extrema Detection
Keypoint Localization
Orientation Assignment
Descriptor Generation
SURF Algorithm
Hessian Matrix-based Detection
Descriptor Computation
ORB Algorithm
FAST Keypoint Detection
BRIEF Descriptor
Orientation Compensation
AKAZE Algorithm
KAZE Algorithm
BRIEF Descriptor
Feature Matching
Brute-Force Matcher
Distance Metrics
Cross-Check Filtering
FLANN-Based Matcher
Index Types
Search Parameters
Match Filtering Techniques
Distance Ratio Test
Geometric Verification
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6. Object Detection and Recognition