Description: Abstract: This paper presents a point of interest based on moment invariants (IPIM) of the image stitching technology. Angle using Harris detector to obtain images in the interest of points to calculate the interest point neighborhood of the translation, rotation and scale invariant moments, by comparing the interest point neighborhood of the Continental moment invariants extracted from the initial feature points right, according to the geometric pseudo-transformation model features removed, and finally realize the use of mapping model correctly spliced images. Experiments show that the method of translation and rotation of any angle has good robustness for small-scale transformation of the image still has a good effect splicing.
- [harris] - achieved using Matlab Harris Corner Dete
- [zernike1] - zernike moments algorithm, Matlab langua
- [code] - This code can take advantage of phase co
- [shapematch] - A shape matching the quality of higher l
- [Zernike] - 亟 图 识 模目Hu 睾 Zernike 图 识 械应
- [jiyuguiyihuaMi] - Based on the maximum mutual information
- [imagemosic] - Feature points for image-based registrat
- [kp_harrislaplace] - K. Mikolajczyk of the scale-invariant ha
- [GMI-CPP] - Geometric moment invariant extraction al
- [susure.tar] - SUSurE: Speeded Up Surround Extrema Feat
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