单目视觉方法是三维重建方法的摄像机的使用。图像可以是一个单点的单个或多个图像视图也可以是多角度的多幅图像。前者的主要特征是二维图像的深度信息推导出来的，这些功能包括二维阴影、纹理、轮廓、焦点等，它也被称为X形状恢复方法。本装置结构简单的类方法，单个或少数几个使用图像可以重建三维物体模型；低于正常所需的条件更理想化，实际应用不是很理想，重建效果一般。通过相同的特征点在空间约束获取信息以实现三维重建，利用这些坐标匹配不同图像匹配后者。这种方法可以在摄像机标定重建过程中实施，以满足大规模三维场景重建的需要，在资源丰富的图像重建情况较好；缺点是计算量大，很长时间来重建。下面介绍几种主要的单目视觉方法。
澳洲昆士兰论文代写:三维重建方法
Monocular vision method is the use of a camera for three-dimensional reconstruction method. Images used can be a single point of view of single or multiple images can also be a multi-view multiple images. The former is mainly characterized by a two-dimensional image depth information deduced, these features include two-dimensional shading, texture, focus, contour, etc., it is also referred to as X shape recovery method. This simple device structure class methods, the use of single or small number of several images can be reconstructed three-dimensional object model; less than that normally required conditions more idealistic, practical application is not very satisfactory, the effects of reconstruction in general. The latter by matching different images of the same feature points matching using these coordinates in space constraint obtaining information in order to achieve a three-dimensional reconstruction. This method can be implemented in the reconstruction process of camera calibration, to meet the needs of large-scale reconstruction of three-dimensional scene, and in the case of resource-rich image reconstruction is better; the downside is that a greater amount of computing, a long time to rebuild. The following describes several major monocular vision method.