Laser point cloud diluting and refined 3D reconstruction fusing with digital images

Jie Liu; Jianqing Zhang

doi:10.1117/12.761919

25 July 2007 Laser point cloud diluting and refined 3D reconstruction fusing with digital images

Jie Liu, Jianqing Zhang

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 675327 (2007) https://doi.org/10.1117/12.761919
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

This paper shows a method to combine the imaged-based modeling technique and Laser scanning data to rebuild a realistic 3D model. Firstly use the image pair to build a relative 3D model of the object, and then register the relative model to the Laser coordinate system. Project the Laser points to one of the images and extract the feature lines from that image. After that fit the 2D projected Laser points to lines in the image and constrain their corresponding 3D points to lines in the 3D Laser space to keep the features of the model. Build TIN and cancel the redundant points, which don't impact the curvature of their neighborhood areas. Use the diluting Laser point cloud to reconstruct the geometry model of the object, and then project the texture of corresponding image onto it. The process is shown to be feasible and progressive proved by experimental results. The final model is quite similar with the real object. This method cuts down the quantity of data in the precondition of keeping the features of model. The effect of it is manifest.

Citation Download Citation

Jie Liu and Jianqing Zhang "Laser point cloud diluting and refined 3D reconstruction fusing with digital images", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 675327 (25 July 2007); https://doi.org/10.1117/12.761919

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KEYWORDS

3D modeling

Clouds

Data modeling

3D image processing

Tin

Feature extraction

Laser scanners

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