基于松弛迭代法实现物体三维结构的重建
Journal of Changchun University of Science and Technology(Natural Science Edition)(2008)
Abstract
提出了一种重构三维物体表面的松弛迭代算法。该算法把与物体的输入图像上相匹配点做为初始值,这组匹配点的值是稀疏的而且不用要求很精确。把重构的三维表面表示成二维矩阵的形式,矩阵中的每个元素代表三维图像上匹配点的值。为了使最终重构的表面精确,通过迭代对这组点的值反复更新。随着迭代深度的不断加大,重构的表面越精确。实验结果给出了复原后的三维图,并对其进行分析。
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Key words
3Dsurface reconstruction,polarization,relaxative iteration
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