3D reconstruction of feature point on object surface from a single image.

For the design and development of a vision sensor for the ground test, a method of 3D reconstruction of feature point on large scale object surface from a single image is proposed. By establishing the math model of the 3D coordinate of feature point on the object surface and using the spatial ray through feature point, the 3D coordinate of the feature point can be determined using single image. According to the characteristics, the object surface can be classified into three types: high order surface type, block plane type and block surface type, while the corresponding location methods are introduced. The accuracy of three different 3D reconstruction methods is compared by simulation experiments. By the measurement precision of 1/10 000 in the range of 8 000 mm x 8 000 mm, it is proved that the proposed method is suitable for 3D reconstruction of feature point on large scale object surface. [ABSTRACT FROM AUTHOR]