1) range data registration
深度数据匹配
2) Depth matching
深度匹配
3) data matching
数据匹配
1.
Then an arithmetic flow for spatial vector data matching was put forward based on spatial directions similarity.
采用方向关系矩阵模型进行空间方向关系描述,讨论了一般情况下的空间方向相似性计算,提出了基于空间方向相似性的矢量数据匹配算法流程。
2.
Then,we put forward data matching thought based on area similarity and realize area feature matching.
数据匹配技术是空间数据集成与融合中的关键技术。
5) range image registration
深度像匹配
1.
Unlike the existing distance-based measures, the SMISM takes on the mean 3-D inter-space associated with each triangle in the overlap region to guide the range image registration.
提出了一种利用改进的遗传算法和表面间平均体积测度进行深度像匹配的方法。
6) database matching
数据库匹配
1.
To consider the differences among persons,the multivariable regression analysis and a selected database matching algorithm were used to predict the personalized head-related impulse responses based on the measured data,then the predicted data were combined with the calculated impulse response to simulate the binaural hearing environment.
为考虑人体生理差异对仿真效果的影响,在测量数据的基础上,利用多元回归分析和一种优选的数据库匹配方法获取与听者生理参数相匹配的个人化头相关脉冲响应,再结合由软件计算得到的声场脉冲响应以及声源干信号完成双耳听觉仿真,获得了良好的效果。
补充资料：深度
1.向下或向里的距离。 2.事物向更高阶段发展的程度。 3.触及事物本质的程度。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条