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。
Finally, view information of face images is extracted and modeled by TSA for the purpose of view estimation, which is followed by the multi-view face recognition.
最后，利用张量子空间分析分离出人脸图像的姿态信息并对其进行建模，实现人脸姿态估计，进而实现多姿态人脸识别。
Based on the principle that homologous points in different parallax images correspond to the same object point, a method is proposed to eliminate the vertical parallax in multi-view parallax images.
基于各视差图像中同源像点对应同一物点的原理，本文提出了一种消除多视点视差图像竖直视差的方法。
Based on the principle that homologous points in different parallax images correspond to the same object point, a method is proposed to eliminate the vertical parallax in multi-view parallax images.
基于各视差图像中同源像点对应同一物点的原理，本文提出了一种消除多视点视差图像竖直视差的方法。
应用推荐