Open AccessA Sub‐pixel Disparity Refinement Algorithm Based on Lagrange Interpolation
Author(s) -
Men Yubo,
Zhang Guoyin,
Men Chaoguang,
Li Xiang,
Ma Ning
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.03.002
Subject(s) - interpolation (computer graphics) , pixel , epipolar geometry , feature (linguistics) , artificial intelligence , affine transformation , algorithm , computer science , image scaling , mathematics , computer vision , nearest neighbor interpolation , line (geometry) , bilinear interpolation , multivariate interpolation , image (mathematics) , image processing , geometry , philosophy , linguistics
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.