我们正将研究的边界扩展至云计算领域、平台领域以及其他各项辅助性工具。
We're pushing the boundary in the cloud-computing area, in the platform area, and with all sorts of supporting tools.
聪明的公司依照其本源来评价外部数据主机或云等的价值：有用的备份资源以及偶尔的备份机制，作为辅助型或临时辅助性手段。
Smart companies value external data hosters, cloud or otherwise, for what they are: useful backup resources and occasional recovery mechanisms for ancillary or temporary assistance.
我们的基于Flex的应用程序允许用户使用各种可视化辅助工具创建幻灯片，包括项列表、图表编辑器、标记云、关系搜索器和表。
Our Flex-based application allows users to construct slides using a variety of visualization assistants, including bulleted lists, graphic editors, tag clouds, relation explorers, and tables.
介绍了一种基于点云数据生成距离影像，而后引入对比度纹理辅助的点云数据建筑物快速提取方法。
The range image is abstracted from the original data and then the height texture is used for assisting classification.
过去的云在你画面中起到的是辅助作用，现在你把云从画面中抽离出来，变成作品的主题，我想知道这个转折你是怎么想的？
In the past, the cloud played the supporting roles in your picture, now the cloud is separated from the picture and become the work's theme. I wonder that how do you think about this transition.
我知道你原来作品的风格，里面涉及到云的元素，但主要还是男欢女爱的主题，云只是一个辅助材料。
I know the style of your original works, in which the elements of cloud was involved, but the main theme is man and woman in passion of love and the cloud is only an auxiliary material.
为此，我们开发了这套莫尔云纹辅助的手术预测系统。
Just for this reason, we tried to make a surgical prediction system with Moire topography.
总之，本文以航空LIDAR点云数据为基础，在无其他辅助数据的情况下，采用数字图像处理技术，实现了基于航空LIDAR点云数据提取城市地区建筑物的目标。
In a word, this paper based on the airborne LIDAR points cloud data achieves the extraction of urban building by using digital image processing technique without any assistance data.
通过与现有基于点云强度图的配准方法的对比实验表明，在低精度初始外方位元素的辅助下，本文方法能够达到较高的配准精度。
The experimental results show that the proposed algorithm can obtain more accurate results in comparison with the registration method based on LiDAR intensity image.
通过与现有基于点云强度图的配准方法的对比实验表明，在低精度初始外方位元素的辅助下，本文方法能够达到较高的配准精度。
The experimental results show that the proposed algorithm can obtain more accurate results in comparison with the registration method based on LiDAR intensity image.
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