An Introduction To Computer Vision and Transformers

Modern Machine Learning, Artificial Intelligence, NLP, Computer Vision, Attention, Neural Network

Introduction to Computer Vision

Computer Vision is an interdisciplinary field that combines knowledge from areas such as machine learning, artificial intelligence, signal processing, and neuroscience to enable computers to process and interpret visual data.

Core Techniques and Concepts

1. Image Acquisition and Processing: This involves capturing images through various devices and processing them to enhance quality or extract information. Techniques include noise reduction, contrast enhancement, and color correction.
2. Feature Extraction: Identifying key characteristics in images, such as edges, corners, or specific shapes. This is crucial for understanding image content and aiding in tasks like object recognition.
3. Object Detection and Recognition: Techniques like Convolutional Neural Networks (CNNs) are used to detect and classify objects within images.
4. Scene Understanding: Beyond recognizing individual objects, this involves comprehending the scene as a whole, including context and spatial relationships.