Introduction to Computer Vision

Computer Vision is a field of artificial intelligence that enables machines to interpret and understand the visual world. It involves developing algorithms and techniques for extracting information from images and videos, enabling applications like object detection, image recognition, and facial analysis.

Image Processing Techniques

Image processing techniques in computer vision include operations like filtering, enhancement, segmentation, and feature extraction. These techniques preprocess images to improve quality, isolate objects of interest, and extract meaningful information for further analysis.

Object Detection and Tracking

Object detection and tracking algorithms identify and locate objects within images or videos in real-time. Techniques like Haar cascades, YOLO (You Only Look Once), and R-CNN (Region-based Convolutional Neural Network) enable tasks such as surveillance, autonomous driving, and augmented reality.

Deep Learning for Computer Vision

Deep learning has revolutionized computer vision with neural networks capable of learning hierarchical representations from data. Convolutional Neural Networks (CNNs) are particularly effective for tasks like image classification, segmentation, and generating descriptive captions.