Cornell Tech’s C3Po system learns to link images to floor plans
Images of the Hagia Sophia mosque in Istanbul, Turkey, captured from various viewpoints, paired with a floor plan annotated with matching point correspondences and camera poses (Image: Cornell Tech)
The research team says helping machines translate situational images into the language of a floor-plan could improve robotics and navigation applications
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