Augmented Reality with Python and OpenCV

Comprehensive guide to developing augmented reality apps using Python and OpenCV. Learn key steps like target recognition, homography estimation, and 3D model projection.

Introduction

A comprehensive guide to developing augmented reality applications using Python and OpenCV.

Highlights

• Covers the key steps to build an augmented reality application, including recognizing the target surface, estimating homography, deriving the transformation, and projecting a 3D model
• Uses Python and OpenCV, which are open-source, easy to set up, and allow for fast prototyping
• Provides a proof-of-concept application, with a focus on the essential concepts rather than professional-looking results

Recommendation

This course is recommended for those interested in learning how to develop augmented reality applications, with a focus on the underlying computer vision techniques. It assumes familiarity with different coordinate systems and transformation matrices.