A Sub-pixel Disparity Refinement Algorithm Based on Lagrange Interp olation |
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Authors: | MEN Yubo ZHANG Guoyin MEN Chaoguang LI Xiang MA Ning |
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Affiliation: | 1. College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China;2. College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China;Harbin Normal University, Harbin 150001, China |
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Abstract: | A sub-pixel disparity refinement algorithm based on Lagrange interpolation is proposed to calculate the sub-pixel disparity and the elevation of the target con-struction on the remote sensing image. The accurate in-teger matching feature points are obtained by improved affine scale invariant feature transform. A series of inter-polation samples can be estimated through the three times magnification results of each feature matching point and its close neighbor pixels. The final sub-pixel deviation can be calculated by the interpolation samples. Experiment re-sults show that a more accurate elevation information can be obtained on the remote sensing image with corrective epipolar line, and an accurate sub-pixel disparity result can be estimated without the epipolar line constraint as well. |
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Keywords: | Computer vision Remote sensing image processing Sub-pixel disparity Interpolation |
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