High Speed Video Using a Dense Camera Array
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Bennett Wilburn
Stanford University |
Neel Joshi
Stanford University |
Vaibhav Vaish
Stanford University |
Marc Levoy
Stanford University |
Mark Horowitz
Stanford University |
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Presented at CVPR 2004 |
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Abstract
We demonstrate a system for capturing multi-thousand frame-per-second (fps) video using a dense array of cheap 30fps CMOS image sensors. A benefit of using a camera array to capture high speed video is that we can scale to higher speeds by simply adding more cameras. Even at extremely high frame rates, our array architecture supports continuous streaming to disk from all of the cameras. This allows us to record unpredictable events, in which nothing occurs before the event of interest that could be used to trigger the beginning of recording. Synthesizing one high speed video sequence using images from an array of cameras requires methods to calibrate and correct those cameras' varying radiometric and geometric properties. We assume that our scene is either relatively planar or is very far away from the camera and that the images can therefore be aligned using projective transforms. We analyze the errors from this assumption and present methods to make them less visually objectionable. We also present a method to automatically color match our sensors. Finally, we demonstrate how to compensate for spatial and temporal distortions caused by the electronic rolling shutter, a common feature of low-end CMOS sensors.
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Figure 1: Our 52 camera high speed array. | Figure 2: 1560fps image of a popping balloon. | ||||
Paper |
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Videos fan_even.mpg fan_shifted.mpg fan_shifted_sliced.mpg balloon1_distorted.mpg balloon2_distorted.mpg balloon2_sliced.mpg balloons.mpg |