提出了一种基于车载序列影像的建筑立面纹理快速重建的方法。
An algorithm of rapidly reconstructing texture of building facades from vehicle-based image sequence is presented in this paper.
在硬件纹理加速体重建算法的基础上，提出了两种模拟三维数据切割的方法：利用深度缓存实现和利用离散距离场实现。
Based on hardware-accelerated texture-based volume rendering algorithm, this paper proposed two methods for volume cutting, which are based on either depth buffer or discrete distance field.
提出了纹理库和模型库的思想，确立了城市景观建筑物三维重建的整体思路。
The idea of texture lab and model lab and the unitary thought of city landscape's 3D reconstruction were put forward.
提到的算法是有效和可靠的一对弱纹理和标准件，分别给出精确的3 - D坐标与实际自然图像的三维重建。
The algorithm mentioned is valid and reliable by 3d reconstruction on a pair of actual natural images with weak texture and the standard piece with given precise 3-d coordinates, respectively.
鉴于重建纹理图集的成本，就必须在重建过程中尽量减少重建纹理图集。
Given the cost of rebuilding the texture atlases, it is imperative to minimize during rebuilds.
鉴于重建纹理图集的成本，就必须在重建过程中尽量减少重建纹理图集。
Given the cost of rebuilding the texture atlases, it is imperative to minimize during rebuilds.
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