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https://hdl.handle.net/10356/101637| Title: | Framework for gradient integration by combining radial basis functions method and least-squares method | Authors: | Huang, Lei Asundi, Anand Krishna |
Keywords: | DRNTU::Engineering::Mechanical engineering | Issue Date: | 2013 | Source: | Huang, L., & Asundi, A. K. (2013). Framework for gradient integration by combining radial basis functions method and least-squares method. Applied Optics, 52(24), 6016-6021. | Series/Report no.: | Applied optics | 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. | URI: | https://hdl.handle.net/10356/101637 http://hdl.handle.net/10220/16536 |
DOI: | http://dx.doi.org/10.1364/AO.52.006016 | Rights: | © 2013 Optical Society of America. This paper was published in Applied Optics and is made available as an electronic reprint (preprint) with permission of Optical Society of America. The paper can be found at the following official DOI: [http://dx.doi.org/10.1364/AO.52.006016]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. | metadata.item.grantfulltext: | open | metadata.item.fulltext: | With Fulltext |
| Appears in Collections: | MAE Journal Articles |
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| Framework for gradient integration by combining radial basis functions method and least-squares method.pdf | 968.91 kB | Adobe PDF |  View/Open |
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