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Computer Science
Computer Vision
Computer Vision and Image Analysis
1. Foundations of Computer Vision
2. Image Formation and Representation
3. Fundamental Image Processing
4. Feature Detection and Description
5. Image Segmentation
6. Classical Object Recognition
7. Deep Learning for Computer Vision
8. Motion and Video Analysis
9. 3D Computer Vision
10. Computer Vision Applications
Feature Detection and Description
Edge Detection
Gradient-based Methods
First-order Operators
Sobel Operator
Prewitt Operator
Roberts Cross-gradient
Second-order Methods
Laplacian of Gaussian
Zero-crossing Detection
Marr-Hildreth Edge Detector
Canny Edge Detection
Gaussian Smoothing
Gradient Computation
Non-maximum Suppression
Double Thresholding
Edge Linking
Advanced Edge Detection
Multi-scale Edge Detection
Oriented Edge Detection
Edge Quality Assessment
Corner and Interest Point Detection
Corner Detection Principles
Corner Definition
Corner Properties
Detection Criteria
Harris Corner Detector
Structure Tensor
Corner Response Function
Non-maximum Suppression
Shi-Tomasi Method
Eigenvalue Analysis
Good Features to Track
FAST Detector
Circle of Pixels Test
Machine Learning Enhancement
Speed Optimization
Scale-space Methods
Multi-scale Detection
Scale Selection
Automatic Scale Detection
Blob Detection
Scale-space Theory
Gaussian Scale Space
Scale-space Extrema
Laplacian of Gaussian
Scale Selection
Blob Localization
Difference of Gaussians
Approximation to LoG
Computational Efficiency
MSER Detection
Extremal Regions
Stability Criteria
Region Properties
Feature Descriptors
SIFT Descriptor
Keypoint Localization
Orientation Assignment
Descriptor Computation
Invariance Properties
SURF Descriptor
Integral Images
Hessian Matrix
Descriptor Construction
Speed Improvements
Binary Descriptors
BRIEF Descriptor
ORB Descriptor
BRISK Descriptor
Hamming Distance
Local Binary Patterns
Pattern Encoding
Rotation Invariance
Uniform Patterns
Feature Matching
Distance Metrics
Euclidean Distance
Manhattan Distance
Hamming Distance
Chi-square Distance
Matching Strategies
Nearest Neighbor Matching
Ratio Test
Cross-check Matching
Approximate Methods
k-d Trees
LSH Methods
FLANN Library
Outlier Rejection
RANSAC Algorithm
Least Median of Squares
M-estimators
Consensus Methods
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3. Fundamental Image Processing
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5. Image Segmentation