Modern Computer Vision
From Image Processing to Deep Learning
Modern Computer Vision
Module 1
Introduction to Digital Image Processing
Overview of Digital Image Processing
Image Types & Representations
Image Formation in Cameras & Sensors
Stages of Image Processing
Image Compression & Encoding
Exercises
Module 2
Fundamentals of Computer Vision
Introduction to Computer Vision
Computer Vision Pipeline
Applications of Computer Vision
Challenges & Bias in AI Vision
Exercises
Module 3
Image Preprocessing & OpenCV
Introduction to OpenCV
Image Filtering & Morphological Operations
Color Space Conversions
Image Transformations (Geometric & Frequency Domain)
Contouring, Thresholding, and Edge Detection
Exercises
Module 4
Image Analysis & Classification
Image Classification Basics
Traditional Feature-Based Approaches (SIFT, SURF, ORB)
Modern Image Classification (CNN, ViT, CLIP)
Image Segmentation Techniques
Exercises
Module 5
Deep Learning for Computer Vision
Neural Networks & Backpropagation
Convolutional Neural Networks (CNNs)
Activation Functions & Optimization Methods
Data Augmentation & Transfer Learning
Self-Supervised Learning (DINO, BYOL, SimCLR)
Exercises
Module 6
Advanced CNN Architectures
LeNet, AlexNet, VGG
ResNet & EfficientNet
Inception & GoogLeNet
Vision Transformers (ViT, Swin Transformer)
CLIP: Multi-Modal Vision-Language Learning
Segment Anything Model (SAM) – New Era of Segmentation
Exercises
Module 7
Object Detection & Recognition
Object Detection Basics
R-CNN, Faster R-CNN, Mask R-CNN
YOLO Series (YOLOv7, YOLOv8, YOLO-NAS)
DETR: Transformer-Based Object Detection
Motion Analysis & Object Tracking (DeepSORT, ByteTrack)
Exercises
Module 8
Image Segmentation
Traditional Image Segmentation
Modern Deep Learning-Based Segmentation (UNet, DeepLabv3+)
Instance & Panoptic Segmentation
Exercises
Module 9
Generative Models & AI Creativity
Generative Adversarial Networks (GANs)
Diffusion Models (Stable Diffusion 3, DALLE-3)
Neural Radiance Fields (NeRF) – 3D Scene Reconstruction
Text-to-Image Models (MidJourney, DALLE-3)
Face Generation & DeepFake Detection
Exercises
Module 10
Advanced AI & Real-World Applications
Face Recognition (DeepFace, ArcFace)
Real-Time Image Processing on Edge Devices
AI for Healthcare & Medical Imaging
AI in Autonomous Vehicles & Robotics
AI-Powered Video Analysis & Enhancement
Ethics & Privacy in Computer Vision
Exercises
