Three-dimensional reconstruction from the method of CAD-based photogrammetry

Ling Yang; Shunyi Zheng

doi:10.1117/12.750270

15 November 2007 Three-dimensional reconstruction from the method of CAD-based photogrammetry

Ling Yang, Shunyi Zheng

Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67881V (2007) https://doi.org/10.1117/12.750270
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The three-dimensional (3D) reconstruction has become a hot research field of Photogrammetry and computer vision. This paper presents a measurement method of CAD-based Photogrammetry to do 3D reconstruction. CAD models and images which the exterior orientation is known are used. The visible edges of a volumetric CAD model with an initial pose are projected back into images after a hidden line analysis. This analysis determines which edges (or parts of edges) of the object are visible, and computes the edges of the object. Observation equations are formulated that establish the relationship between the parameterized CAD models and position of the edges in the images. The flow of this paper is as fellows. Firstly, parameterized CAD models are used to describe 3D objects, object models can be described in various ways, and this paper uses CSG models combined with B-rep. Secondly, fitting models to images. Manually select an appropriate model and approximate parameters, the parameterized models are projected back into the images, and then compute the optimal fitting automatically. Thirdly, calculate the parameters of the model. Experiments were done to box, sphere and column, which are the base primitive of some objects. The results of these experiments show that the method used in this paper are effective and have high precision. All primitives used in these experiments are well reconstructed.

Citation Download Citation

Ling Yang and Shunyi Zheng "Three-dimensional reconstruction from the method of CAD-based photogrammetry", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67881V (15 November 2007); https://doi.org/10.1117/12.750270

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