Registration of blurred images for image mosaic
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.
Xianyong Fang Bin Luo Jin Tang Haifeng Zhao Biao He Hao Wu
Key Lab. of Intelligent Computing and Signal Processing of MOE Anhui University Hefei, China
国际会议
黄山
英文
184-189
2009-08-19（万方平台首次上网日期，不代表论文的发表时间）