A foundational course explaining how computers can interpret digital images and videos. Learn the fundamental concepts and basic techniques used in computer vision systems, starting from image basics to introductory object recognition.
Prerequisites: No prior knowledge required
Level: Beginner
Core Concepts
Understand what computer vision is and its primary goals.
Image Representation
Explain how digital images are represented and stored by computers.
Image Processing
Perform basic image manipulation and filtering tasks.
Feature Detection
Describe fundamental methods for detecting features like edges and corners.
Object Recognition Ideas
Grasp the basic concepts involved in identifying objects within images.
Development Setup
Set up a basic Python environment for computer vision tasks using common libraries.
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