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Computer Science
Computer Vision
Computer Vision
1. Introduction to Computer Vision
2. Digital Image Fundamentals
3. Image Processing and Enhancement
4. Feature Detection and Description
5. Image Segmentation
6. Camera Geometry and 3D Vision
7. Motion Analysis and Video Processing
8. Classical Machine Learning for Vision
9. Deep Learning for Computer Vision
10. Core Vision Tasks with Deep Learning
11. Advanced Computer Vision Topics
12. Implementation and Practical Considerations
13. Ethics and Societal Impact
Feature Detection and Description
Fundamentals of Image Features
Definition of Image Features
Types of Features
Edges
Corners
Blobs
Ridges
Feature Properties
Repeatability
Distinctiveness
Locality
Quantity
Accuracy
Efficiency
Edge Detection
Gradient-Based Methods
First-Order Derivatives
Sobel Operator
Prewitt Operator
Roberts Cross-Gradient
Gradient Magnitude and Direction
Second-Order Methods
Laplacian Operator
Laplacian of Gaussian
Zero-Crossing Detection
Canny Edge Detection
Gaussian Smoothing
Gradient Computation
Non-Maximum Suppression
Double Thresholding
Edge Linking by Hysteresis
Advanced Edge Detection
Multi-scale Edge Detection
Color Edge Detection
Corner and Interest Point Detection
Corner Detection Principles
Moravec Corner Detector
Harris Corner Detector
Corner Response Function
Eigenvalue Analysis
Non-Maximum Suppression
Improved Corner Detectors
Shi-Tomasi Corner Detector
FAST Corner Detector
AGAST Corner Detector
Scale-Invariant Detection
Scale-Space Theory
Automatic Scale Selection
Blob Detection
Scale-Space Blob Detection
Laplacian of Gaussian
Difference of Gaussians
Scale Selection
Hessian-Based Detection
Determinant of Hessian
Trace of Hessian
Maximally Stable Extremal Regions
Local Feature Descriptors
SIFT Descriptor
Keypoint Localization
Orientation Assignment
Descriptor Construction
Matching Strategy
SURF Descriptor
Integral Images
Hessian Matrix Approximation
Descriptor Computation
Binary Descriptors
BRIEF Descriptor
ORB Descriptor
BRISK Descriptor
FREAK Descriptor
HOG Descriptor
Gradient Computation
Orientation Binning
Block Normalization
Feature Vector Construction
Feature Matching
Brute-Force Matching
FLANN-Based Matching
Ratio Test
Cross-Check Filtering
RANSAC for Outlier Removal
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3. Image Processing and Enhancement
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5. Image Segmentation