Page Index - iffatAGheyas/computer-vision-handbook GitHub Wiki
101 page(s) in this GitHub Wiki:
- Home
- 🧠 Computer Vision Handbook: Image & Video Processing — Syllabus
- 📅 Duration
- 📘 Module 1: Introduction to Computer Vision
- 🖼️ Module 2: Digital Image Fundamentals
- 🎛️ Module 3: Image Filtering & Convolution
- ✂️ Module 4: Image Segmentation
- 📌 Module 5: Feature Detection & Matching
- 🎞️ Module 6: Motion & Video Analysis
- 🎯 Module 7: Object Detection & Recognition
- 🤖 Module 8: Deep Learning in Computer Vision
- 🛠️ Module 9: Project & Applications
- ✅ Prerequisites
- Applications in Industry and Research
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- Background Subtraction
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- Cameras Sensors and Pixels
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- CNN
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- Colour Spaces
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- computer vision
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- Contours
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- Convolution and Correlation
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- Corner Detectors
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- Edge Detection
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- Faster R CNN
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- Feature Matching
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- Few shot classification
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- HOG and SVM
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- Homographies
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- Image Formation Basics
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- Image Histograms and Enhancement
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- Image Representation
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- Keypoints and Descriptors
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- Mask R‐CNN
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- Module 1 Introduction to Computer Vision
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- Module 2 Digital Image Fundamentals
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- Module 3 Image Filtering and Convolution
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- Module 4 Image Segmentation
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- Module 5 Feature Detection and Matching
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- Module 6: Motion & Video Analysis
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- Module 7 Object Detection and Recognition
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- Module 8 Deep Learning in Computer Vision
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- Module 9 Project and Applications
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- Object Tracking
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- Optical Flow
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- Pretrained models and transfer learning
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- Region Growing and Watershed
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- Sampling and Quantisation
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- Semantic and Instance Segmentation
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- Sharpening and Gradient Operators
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- Smoothing Filters
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- SSD
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- Superpixels
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- Thresholding
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- Video Stabilisation
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- Viola Jones Face Detector
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- YOLO
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- Zero shot classification
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