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• W2092189002 abstract "Existing methods for the registration of blurred images are efficient for the artificially blurred images or a planar registration. They are not suitable for image mosaic of the source images from a real camera with an almost fixed optical center. We propose a registration method so that a distortion-free registration on naturally captured images can be obtained. It adopts a multi-resolution and robust feature based inter-layer mosaic together. In each layer, Harris corner detector is chosen to effectively detect features and RANSAC is used to find reliable matches for further calibration as well as an initial homography as the initial motion of next layer. Simplex and subspace trust region methods are used consequently to estimate the stable focal length and rotation matrix through the transformation property of feature matches. Experimental results demonstrate the performance of our proposed method." @default.
• W2092189002 created "2016-06-24" @default.
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• W2092189002 date "2009-08-01" @default.
• W2092189002 modified "2023-10-18" @default.
• W2092189002 title "Registration of blurred images for image mosaic" @default.
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• W2092189002 doi "https://doi.org/10.1109/cadcg.2009.5246906" @default.
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