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Using Cloud Shadows to Infer Scene Structure and Camera Calibration
This video was recorded at 23rd IEEE Conference on Computer Vision and Pattern Recognition 2010 - San Francisco. We explore the use of clouds as a form of structured lighting to capture the 3D structure of outdoor scenes observed over time from a static camera. We derive two cues that relate 3D distances to changes in pixel intensity due to clouds shadows. The first cue is primarily spatial, works with low frame-rate time lapses, and supports estimating focal length and scene structure, up to a scale ambiguity. The second cue depends on cloud motion and has a more complex, but still linear, ambiguity. We describe a method that uses the spatial cue to estimate a depth map and a method that combines both cues. Results on time lapses of several outdoor scenes show that these cues enable estimating scene geometry and camera focal length.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
