基于图像的三维颅骨特征重建偏移误差分析

T. Ma, T. D. Bui, T. K. Dang
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引用次数: 0

摘要

三维颅骨是基于颅骨的三维面部重建的关键[1,2,3,4,5,6,7,8]。在三维重建中,尤其是基于颅骨的三维面部重建中,特征通常起着重要的作用。因为,特征检测的准确性强烈地影响着3D最终模型的精度。三维重建颅骨的精度是基于颅骨的三维面部重建的重要组成部分。我们讨论了误差的原因称为移位误差时,采取颅骨图像序列。此外,我们还分析了位移误差对三维重建的影响,并提出了限制位移误差的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shift Error Analysis in Image Based 3D Skull Feature Reconstruction
3D skull is crucial in skull-based 3D facial reconstruction [1, 2, 3, 4, 5, 6, 7, 8]. In 3D reconstruction, especially in skull-based 3D facial reconstruction, features usually play an important role. Because, the accuracy in feature detection strongly affects the accuracy of the 3D final model. In this paper, we concentrate on accuracy of 3D reconstructed skull, one important part in skull-based 3D facial reconstruction. We discuss a cause of errors called shift errors when taking sequence of skull images. In addition, we analysis the effect of shift error in 3D reconstruction and propose solution to limit the effect.
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