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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
8.
Advanced Image Processing
8.1.
High Dynamic Range Imaging
8.1.1.
HDR Concepts
8.1.2.
Exposure Fusion
8.1.3.
Tone Mapping Algorithms
8.1.3.1.
Drago Tone Mapping
8.1.3.2.
Reinhard Tone Mapping
8.1.3.3.
Mantiuk Tone Mapping
8.2.
Image Restoration
8.2.1.
Image Inpainting
8.2.1.1.
Telea Algorithm
8.2.1.2.
Navier-Stokes Algorithm
8.2.1.3.
Mask-based Inpainting
8.2.2.
Image Denoising
8.2.2.1.
Non-Local Means Denoising
8.2.2.2.
Fast Non-Local Means
8.2.2.3.
Colored Image Denoising
8.3.
Image Stitching
8.3.1.
Feature-based Stitching
8.3.2.
Homography Estimation
8.3.3.
Image Warping and Blending
8.3.4.
Seam Finding
8.3.5.
Multi-band Blending
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7. Video Analysis and Object Tracking
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9. Camera Calibration and 3D Vision