The mapping of land-use planning in the post-disaster reconstruction is an important work in the disaster area.
灾后重建土地利用规划制图是受灾地区进行灾后恢复重建的一项重要工作。
The image reconstruction algorithm based on RBF neural networks uses RBF networks to build the mapping relationship between the capacitance value and the image gray-scale value.
基于RBF神经网络的图像重建方法的实质就是用RBF神经网络建立电容测量值到图像灰度值的映射关系模型。
To model the lost small terrain details during surveying and mapping is very important to realistic terrain reconstruction.
模拟在测绘过程中被忽略的地形细节对逼真地形重建来说是十分重要的。
Absolute phase measurement and phase reconstruction to object surfaces with complex geometric and topologic shapes still remain difficult for phase mapping based on three-dimensional (3d) sensing.
基于相位映射的三维传感技术对几何形状和拓扑结构复杂或表面梯度很大的物体进行绝对相位测量及相位重建仍然是一个困难的问题。
In this paper, we propose an approach of constrained texture mapping for 3d face model to strengthen the realism of the craniofacial reconstruction results.
本文研究内容作为计算机辅助的三维颅面复原项目的一部分，研究一种约束纹理映射算法，使得三维颅面复原的效果具有照片真实感。
In this paper, we propose an approach of constrained texture mapping for 3d face model to strengthen the realism of the craniofacial reconstruction results.
本文研究内容作为计算机辅助的三维颅面复原项目的一部分，研究一种约束纹理映射算法，使得三维颅面复原的效果具有照片真实感。
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