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Explore image recognition and camera positioning techniques using OpenCV in this 24-minute conference talk from EuroPython 2015. Discover how to leverage OpenCV's Python bindings for camera calibration, image recognition, and camera position estimation. Learn to implement a system that can recognize paintings from a predefined library and calculate the camera's position relative to the identified artwork. Gain insights into the practical application of these techniques in developing a tourist guide application for Google Glass, designed to recognize paintings in museum settings. Understand how to combine OpenCV with numpy to create powerful computer vision solutions for real-world scenarios.
