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《Journal of Shanghai Jiaotong University》 2005-S1
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Image Mosaic Based on Complex Wavelet Transform

SONG Li, ZHOU Yuan-hua, ZHOU Jun(Inst. of Image Communication & Information Processing, Shanghai Jiaotong Univ., Shanghai 200030, China)  
A novel panorama composition algorithm was presented. According to geometry constraints and correlation property, the initial stitching area of image sequences is solved. Then shift-invariant complex wavelet transformation is employed to match image sequences in multi-resolution. In every resolution, eight-parameter projective transformation model is used to transform images. The matched images and calibrated camera are united by the algorithm at the same time, which is easily operated. It can not only ensure the matching precision but also improve the operation speed. The result of experiments shows that the effect of image composition is ideal.
【Fund】: 国家自然科学基金资助项目(69905003)
【CateGory Index】: TP391.41
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