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7 September 2010 A robust improved image stitching algorithm based on keypoints registration
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An improved algorithm based on Harris Corner Detection is presented. It has good noise resistive and can extract feature point on edge precisely and reduce the effect of noise and isolated pixels. To improve the Harris corner detection performance, several methods are involved. Instead of the Gaussian function, a B-spline smooth function is used. It can preserve more corner information and prevent corner position offsetting. To get more robust results, a modified corner response is also employed. In the corner matching process, the gradient information within a 5×5 window is used to perform a more robust matching. By an improved image matching algorithm, it can match the feature point precisely and reduce the incorrect matches. After that the images are aligned, the image of the overlapping band is smoothed with fusion algorithm to obtain a seamless mosaic image.
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Hua Lei, Feiyong Gu, Huajun Feng, Zhihai Xu, and Qi Li "A robust improved image stitching algorithm based on keypoints registration", Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 77990X (7 September 2010);

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