9 February 2010 An improved framework for automatic image mosaic
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Abstract
This paper describes an improved framework to generate seamless image mosaic automatically. The input images are classified into different image connectivity sets by using speeded features. For each set, the proposed method includes two parts: initial alignment and global optimization. The initial geometrical registration is obtained using the classical parameterization of homography. The photometric parameters among images are computed to balance the overall gain using the least square method. A good global optimization can be achieved with these initial information and multiple constraints between images. Besides, we also take the radial distortion into consideration. Mulitresolution blending combined with an optimal seam selection gives the final seamless mosaic. Various image sets illustrate the robustness of the proposed method in experimental results.
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Jie Lei, Jie Lei, Jingting Ding, Jingting Ding, Jilin Liu, Jilin Liu, } "An improved framework for automatic image mosaic", Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 75320O (9 February 2010); doi: 10.1117/12.838410; https://doi.org/10.1117/12.838410
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