基于ICP算法的计算两个点云相似度的参考文献

基于ICP算法计算两个点云相似度的参考文献如下：

1. P. J. Besl and N. D. McKay, "A method for registration of 3-D shapes," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, Feb. 1992.

2. R. B. Rusu, Z. C. Marton and M. Beetz, "Towards 3D Point Cloud Based Object Maps for Household Environments," 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, 2008, pp. 3596-3603.

3. Y. Chen, H. Xu, S. Liu and B. Zhang, "3D Point Cloud Registration Algorithm Based on ICP," 2017 36th Chinese Control Conference (CCC), Dalian, 2017, pp. 8002-8007.

4. J. W. Zhang, J. J. Liu and J. H. Zhang, "Improved ICP Algorithm for Point Cloud Registration," 2016 IEEE International Conference on Mechatronics and Automation (ICMA), Harbin, 2016, pp. 1810-1815.

5. S. Zhang, H. Wang, Y. Chen, Y. Zhang and H. Zhang, "A Fast ICP Algorithm for 3D Point Cloud Registration," 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, 2016, pp. 1787-1792.

这些文献都是关于点云配准（registration）和相似度计算的经典文献，可以帮助你进一步了解和研究基于ICP算法的点云配准和相似度计算方法。