3D Reconstruction Based on Model Registration Using RANSAC-ICP Algorithm

The development of image preprocessing has provided new opportunities in the field of three-dimensional reconstruction. One of the most important areas of three-dimensional reconstruction is focused on model registration by means of matching algorithm. This is mainly due to the great increase of registration algorithm in the pattern recognition system such as image acquisition, image preprocessing, 3D reconstruction. This paper presents an analysis of model registration algorithm of three-dimensional reconstruction by comparison common registration algorithm such as RANSAC (Random Sample Consensus) and ICP (Iterative Closest Point). Then, in order to elevate registration precision and robustness affecting the 3D reconstruction results, CTF (Coarse to Fine) registration strategy based on RANSAC-ICP Algorithm is proposed. Finally, by using three-dimensional reconstruction experiment based on RANSAC-ICP Algorithm, the performance of CTF registration strategy has been analyzed, and some problems and design solutions have been identified and registration precision and robustness have also been validated by experimental results.