Integration method for 3D model reconstruction

Xiaokun Li; William G. Wee

doi:10.1117/12.525989

16 April 2004 Integration method for 3D model reconstruction

Xiaokun Li, William G. Wee

Proceedings Volume 5302, Three-Dimensional Image Capture and Applications VI; (2004) https://doi.org/10.1117/12.525989
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Three-dimensional (3D) object reconstruction from range images plays an important role in many research and application fields, including computer vision, reverse engineering, computer graphics, and CAD/CAM. Since data integration is a fundamental step in object reconstruction, a great number of research efforts have been made on that. In this paper, a novel integration algorithm is presented. Firstly, the input data (registered data) which contains overlapping data is represented by kd-tree structure. Then, three theorems are provided together with the usage of nearest neighbor searching to identify and eliminate the overlapping data. The method manipulates the registered data directly without preprocessing work, therefore, provides an efficient and straightforward way to remove the redundant data. This is different from the traditional methods which need to mesh the input data or build an implicit surface function before integration. To reduce the data size and obtain a reasonable density distribution, a reliable resampling method called ball travel based resampling is also developed. The experimental results demonstrate the efficiency of the proposed algorithm.

Citation Download Citation

Xiaokun Li and William G. Wee "Integration method for 3D model reconstruction", Proc. SPIE 5302, Three-Dimensional Image Capture and Applications VI, (16 April 2004); https://doi.org/10.1117/12.525989

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