A Sub-pixel Disparity Refinement Algorithm Based on Lagrange Interpolation

MEN Yubo; ZHANG Guoyin; MEN Chaoguang; LI Xiang; MA Ning

doi:10.1049/cje.2017.03.002

Volume 26 Issue 4

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MEN Yubo, ZHANG Guoyin, MEN Chaoguang, et al., “A Sub-pixel Disparity Refinement Algorithm Based on Lagrange Interpolation,” Chinese Journal of Electronics, vol. 26, no. 4, pp. 784-789, 2017, doi: 10.1049/cje.2017.03.002

Citation:

MEN Yubo, ZHANG Guoyin, MEN Chaoguang, et al., “A Sub-pixel Disparity Refinement Algorithm Based on Lagrange Interpolation,” Chinese Journal of Electronics, vol. 26, no. 4, pp. 784-789, 2017, doi: 10.1049/cje.2017.03.002

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A Sub-pixel Disparity Refinement Algorithm Based on Lagrange Interpolation

doi: 10.1049/cje.2017.03.002

1.
College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China;
2.
Harbin Normal University, Harbin 150001, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61672181).

Received Date: 2016-12-01
Rev Recd Date: 2017-01-11
Publish Date: 2017-07-10

Abstract

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 construction on the remote sensing image. The accurate integer matching feature points are obtained by improved affine scale invariant feature transform. A series of interpolation 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 results 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.
- Computer vision,
- Remote sensing image processing,
- Sub-pixel disparity,
- Interpolation

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References(11)

References

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