Abstract
A framework with a combination of the radial basis functions (RBFs) method and the least-squares integration method is proposed to improve the integration process from gradient to shape. The principle of the framework is described, and the performance of the proposed method is investigated by simulation. Improvement in accuracy is verified by comparing the result with the usual RBFs-based subset-by-subset stitching method. The proposed method is accurate, automatic, easily implemented, and robust and even works with incomplete data.
© 2013 Optical Society of America
Full Article | PDF ArticleMore Like This
Hongyu Ren, Feng Gao, and Xiangqian Jiang
Appl. Opt. 54(34) 10249-10255 (2015)
Lei Huang and Anand Asundi
Appl. Opt. 51(31) 7459-7465 (2012)
Hongyu Ren, Feng Gao, and Xiangqian Jiang
Appl. Opt. 55(22) 6052-6059 (2016)