A Multi-View Data Acquisition Method Based on Compressive Sensing
A technology of data acquisition and compressed sensing, applied in image communication, electrical components, stereo systems, etc., can solve problems such as difficult data storage and transmission, high production costs, and complicated calibration procedures, so as to reduce system costs and improve maintainability properties, the effect of saving parallax information
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[0047] The present invention will be further described below in conjunction with the accompanying drawings.
[0048] A multi-viewpoint data acquisition method based on compressed sensing, characterized in that it includes a sparse camera array, the sparse camera array includes T cameras, T=1, 2, 3...; the T cameras capture T*T The light field view; the T camera has a camera in each column in the T*T area, and a camera in each row;
[0049] The method includes the following steps:
[0050] Step 1) as in figure 1 As shown, the 5x5 camera array is reduced to such as figure 2 5 cameras in , these 5 cameras will capture a 5x5 light field view,
[0051] The vectorization of M (M=T) images captured by the sparse camera array can be expressed by the following mathematical formula:
[0052] I=ΦL (1)
[0053] In the formula:
[0054] I∈R m Images captured for a vectorized sparse camera array;
[0055] L∈R n The image captured by the vectorized complete camera array is also the...
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