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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
Camera Geometry and 3D Vision
Camera Models and Calibration
Pinhole Camera Model
Perspective Projection
Camera Matrix
Intrinsic Parameters
Extrinsic Parameters
Camera Calibration Process
Calibration Patterns
Checkerboard Calibration
Circle Grid Calibration
Parameter Estimation
Calibration Accuracy Assessment
Lens Distortion Models
Radial Distortion
Tangential Distortion
Distortion Correction
Advanced Camera Models
Fisheye Camera Model
Omnidirectional Camera Model
Multi-Camera Systems
Epipolar Geometry
Two-View Geometry
Epipolar Constraint
Epipolar Lines
Epipoles
Essential Matrix
Properties and Constraints
Eight-Point Algorithm
Five-Point Algorithm
Fundamental Matrix
Relationship to Essential Matrix
Estimation Methods
RANSAC for Robust Estimation
Rectification
Stereo Rectification
Uncalibrated Rectification
Rectification Quality Assessment
Stereo Vision
Stereo Correspondence
Correspondence Problem
Matching Constraints
Correlation-Based Matching
Feature-Based Matching
Disparity Computation
Block Matching
Dynamic Programming
Graph Cuts for Stereo
Semi-Global Matching
Depth Estimation
Triangulation
Depth from Disparity
Depth Map Refinement
Stereo System Design
Baseline Selection
Camera Configuration
Calibration Requirements
Structure from Motion
Feature Tracking
Point Correspondences
Track Generation
Track Validation
Two-View Reconstruction
Relative Pose Estimation
Triangulation
Bundle Adjustment
Multi-View Reconstruction
Incremental SfM
Global SfM
Hierarchical SfM
Dense Reconstruction
Multi-View Stereo
Patch-Based Methods
Volumetric Methods
3D Representations
Point Clouds
Point Cloud Structure
Point Cloud Processing
Point Cloud Registration
Voxel Representations
Voxel Grids
Octree Structures
Truncated Signed Distance Functions
Mesh Representations
Triangle Meshes
Surface Reconstruction
Mesh Processing
Implicit Representations
Level Sets
Neural Implicit Functions
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5. Image Segmentation
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7. Motion Analysis and Video Processing