Narrow baseline parallax reconstruction method based on multi-scale superpixels and phase correlation
The invention relates to a narrow baseline parallax reconstruction method based on multi-scale superpixels and phase correlation. The method comprises the following steps: step 1, ; obtaining a globalsimilarity transformation model between the two input images by using a Fourier-Meilin transformatio...
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Main Authors | , , , |
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Format | Patent |
Language | Chinese English |
Published |
06.09.2019
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Subjects | |
Online Access | Get full text |
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Summary: | The invention relates to a narrow baseline parallax reconstruction method based on multi-scale superpixels and phase correlation. The method comprises the following steps: step 1, ; obtaining a globalsimilarity transformation model between the two input images by using a Fourier-Meilin transformation method; step 2, carrying out pixel polar error estimation on the global similarity transformationmodel through a multi-scale superpixel method to obtain a pixel polar error estimation result; step 3, for the pixel polar error estimation result, performing sub-pixel precision acquisition operation by adopting a sub-pixel phase correlation method based on singular value decomposition and random sampling consistency, and further obtaining a final narrow baseline parallax result; and step 4, performing three-dimensional information reconstruction on the image according to a final narrow baseline parallax result. Compared with the prior art, the method has the advantages of high precision, good robustness, low texture |
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Bibliography: | Application Number: CN201910491539 |