| 三角面元灰度图象三维重建算法研究 |
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| 引用本文： | 何晓辉,马银平,陈震.三角面元灰度图象三维重建算法研究[J].南昌航空工业学院学报,2007,21(2):38-41. |
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| 作者姓名： | 何晓辉 马银平 陈震 |
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| 作者单位： | 南昌航空大学 江西南昌330063 |
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| 摘 要： | 三角面元SFS算法是结合三角面元模型和线性反射图来阐述SFS问题的,该算法的基本思想是用三角面元素来近似光滑表面,并用一系列基于节点的线性方程组合来表达该表面。本文在此算法的基础上,求解时通过加权平均迭代,提高了恢复的准确性和迭代的收敛速度。
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| 关 键 词： | 计算机视觉 透视投影 三角元素 |
| 文章编号： | 1001-4926（2007）02-0038-04 |
| 收稿时间： | 2007-05-02 |
| 修稿时间： | 2007年5月2日 |
Research into the improvement of algorithm of shape from shading with a linear triangular element surface model |
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| HE Xiao-hui,MA Yin-pin,CHEN Zhen.Research into the improvement of algorithm of shape from shading with a linear triangular element surface model[J].Journal of Nanchang Institute of Aeronautical Technology(Natural Science Edition),2007,21(2):38-41. |
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| Authors: | HE Xiao-hui MA Yin-pin CHEN Zhen |
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| Abstract: | The algorithm of triangular element SFS combines a triangular element surface model with a linearized reflectance map.The main idea is to approximate a smooth surface by the union of triangular surface patches called triangular elements and express the approximating surface as a linear combination of a set of nodal basis functions.In this paper,the proposed improvement of this algorithm enhances the accuracy of SFS and speeds up the convergence of the iteration. |
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| Keywords: | computer vision shape from shading triangular element |
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