公开(公告)号：US20090245692A1

公开(公告)日：2009-10-01

申请号：US12293442

申请日：2007-03-23

申请人： Masatoshi Okutomi ,  Masao Shimizu ,  Soonkeun Chang

发明人： Masatoshi Okutomi ,  Masao Shimizu ,  Soonkeun Chang

IPC分类号： G06K9/32

CPC分类号： G06T7/32

摘要： The present invention provides a region-selection-based image registration method for estimating motions between an image of interest in an image sequence and a reference image in the image sequence which can be applied to the registration of the object having every geometry and by which the high-precision image registration with robustness to illumination variation and occlusion can be conducted.An image registration method for conducting a high-precision image registration between a reference image in an image sequence capturing an object and an image of interest in said image sequence, the method characterized in that a predetermined region on the reference image is set as a region of interest, when conducting the high-precision image registration, a motion parameter is estimated based on pixels of a mask image representing a region where the registration is performed precisely by a predetermined transformation within the region of interest that is set. The mask image is generated by utilizing the similarity evaluation between images.

摘要翻译： 本发明提供了一种用于估计图像序列中感兴趣的图像与图像序列中的参考图像之间的运动的区域选择的图像配准方法，其可以应用于具有每个几何形状的对象的登记， 可以进行对照明变化和遮挡的鲁棒性的高精度图像配准。 一种用于在拍摄对象的图像序列中的参考图像与所述图像序列中的感兴趣的图像之间进行高精度图像配准的图像配准方法，其特征在于，将参考图像上的预定区域设置为区域 感兴趣的是，当进行高精度图像配准时，基于所设置的感兴趣区域内的预定变换精确地表示表示注册的区域的掩模图像的像素来估计运动参数。 通过利用图像之间的相似性评估来生成掩模图像。