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中文摘要：
针对运动物体对图像拼接易造成配准误差和合成鬼影的问题，提出一种多尺度PHOG特征和最优缝合线的运动场景图像拼接算法．首先，在多尺度空间角点检测的基础上，引入分层梯度方向直方图（PHOG）描述方法，生成多尺度PHOG特征，进行稳定配准，避免运动物体的局部影响．然后，通过构建能量函数，采用图割算法搜索几何、灰度差异最小的缝合线，去除运动鬼影．实验结果表明，该方法对存在运动物体的场景拼接具有较高的拼接精度，拼接效果良好．
英文摘要：
Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented gradients （PHOG） and optimal seam is proposed. Firstly, a new feature, multi- scaled PHOG, is generated by introducing PHOG to multi-scale space corner detections. The feature is used to align images for avoiding the local impact caused by moving objects in image registration. Then, an optimal seam, guaranteeing the minimum difference in geometry and gray value, is searched by graph cut algorithm through constructing an energy function to remove the movement ghost. The experimental results show that the proposed algorithm is efficient in dealing with the problems of image mosaicing with moving objects, and the mosaicing results are satisfactory with high precision.
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