This work is to research the problem of matching images which are got from the same scene in different views, that is, the problem of multi-view image registration.
本文所要研究的就是对从不同视角拍摄的有关同一场景的多个不同视角的图像进行匹配的问题，即多视角图像配准问题。
So far, the algorithms of view interpolation based on images are involved in the estimation of multi parameters and image matching under multiple view geometry.
基于图像的视图插补技术涉及到多视图几何中的多参数估计、图像匹配等。
Besides, the paper focuses on the standardization of face image, the normalization and synthesis of multi-pose face image from a single view.
对其中的人脸图像标准化方法、归一化处理和由单视图生成多姿态人脸图像等关键技术进行了重点探讨。
Once such an equation is build up, the algorithm can be designed to extract iso-surface from range data and the consequent application of multi-view range image integration.
一旦等值面方程被建立起来，可以设计相应的算法从深度数据中提取等值面，从而实现多视场深度像的融合。
Once such an equation is build up, the algorithm can be designed to extract iso-surface from range data and the consequent application of multi-view range image integration.
一旦等值面方程被建立起来，可以设计相应的算法从深度数据中提取等值面，从而实现多视场深度像的融合。
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