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texture mapping相关的网络例句

查询词典 texture mapping

与 texture mapping 相关的网络例句 [注:此内容来源于网络,仅供参考]

To deal with the problems and present situation of field data capture by computer in geological mapping in 20 years, this paper has created PRB digital mapping techniques to standardize the digital mapping process and discussed PRB mapping technique-method system, including PRB digital mapping techniques, the model of PRB data and the related process, combinational regulations of PRB process, common mechanism and basic procedure of PRB process, data processing and dictionary of PRB, three-class PRB system,...

从近 2 0年地质填图中计算机野外数据采集技术研究的现状和存在的问题入手,在确定地质填图空间数据表达的基础上,遵循传统地质填图的规律,在不约束地质学家地质思维的前提下,既能满足计算机处理的需要,又能保证地质工作者取全、取准各项地质观测数据,在描述各类地质信息空间关系的基础上,创建了数字地质填图过程标准化和规范化的PRB数字填图技术,并对构成PRB数字填图技术、PRB数据模型、PRB基本过程、PRB基本过程组合的规则、PRB过程的公共机制、PRB过程基本程式、PRB数据操作、PRB字典、三级PRB体系、PRB数据流&栈&、PRB数据质量定量评价体系的PRB数字填图技术与方法体系进行了讨论。

The data analysis shows that: 1 different texture parameters have a clear scattered distribution, 2 the main direction of texture is the direction represented by the maximum parameter of Gauss-MRF parameters, and 3 for those samples basing the same main direction, the finer the texture is, the greater the corresponding parameter is, and the smaller the other parameters are; and the higher the order of Gauss-MRF is, the more clearly the texture is described.

数据分析表明,各不同纹理特征参数之间具有明显的分布性;Gauss-MRF参数值最大的参数所表示的纹理集聚为向为纹理的主方向;对于纹理主方向相同的样本,纹理越细致,其相应参数越大,而其他参数越小;Gauss-MRF阶数越高,纹理描述越细致:在2阶Gauss-MRF模型情况下,弦切纹理的B1参数大于径切纹理的B1;弦切纹理的B2、B3、B4分别小于径切纹理的B2、B3、B4。

A positive and negative projection method of object to be tested based on universal pattern display card includes using 3D texture to present rebuilt body data of object to be tested, calculating out directional vector array of ray outgoing point to detectors, storing said vector array into pattern display card to form directional vector texture, rotating directional vector texture and directional vector around rotary shaft to realize once of positive projection course on any projective angle, using 3D texture index technique to let virtual slab set position be not limited any more in negative projection course.

本发明属于投影探测与成像技术领域,其特点在于该方法含有以下步骤:把被测物体的重建体数据用三维纹理存储表示;预先计算射线出射点至平面探测器上个探测器之间的方向向量数组,并存储到通用图形显示卡中形成方向向量纹理;利用方向向量纹理与方向向量绕旋转轴旋转来实现任一投影角度的正投影过程的一次完成,无中间结果转存;在反投影过程中,利用三维纹理索引技术使虚拟切片组的放置位置不再受到限制。

Second, we point out that the AAM model contains redundant information between the shape and the texture on the basis of the study of AAM model. We remove the unsoundness, directly establish the relationship between the shape and texture, use texture to determine the shape, then establish PCA model of the difference image, and use this model to predict the next position to get the texture information form this position, and redetermine the shape and its position.

其次,在深入研究AAM模型的基础上,本文指出了AAM模型的形象模型包含了冗余信息,并对此进行改进,直接在形状和灰度之间建立起联系,由灰度确定形状,然后再对差分图象建立起PCA模型,由此模型预测下一步的位置变化,在从此位置上获得灰度信息,重新确定形状及其位置。

This way, every time we need memory to load a texture, the texture manager checks whether there's any texture with the same characteristics (size and format, which must be the same to reutilize the texture).

在每一次需要在内存中加载一个纹理时,纹理管理器先检查是否有同样类型的纹理。

Many experiments shows that the method exhibit high generality to periodic and pseudo-periodic structured textures and can accurately recognize feature point mesh in a highly stochastic texture. Bases on the mesh statistic data, the method also quantizes macro scope randomness of texture. The quantized texture randomness parameter faithfully reflects the regularity of texture macro scope structure.

大量实验证明,该方法对周期及伪周期结构性纹理具有强大的通用性,能准确识别高随机度纹理中的特征点网格,并根据网格的统计数据对纹理的宏观随机度进行量化,量化后的随机度指数准确反映了纹理图像宏观结构的整齐程度。

In this dissertation, with the application to ancient buildings of the Leshan Grand Buddha tourist area and PingDu Sportpark, geometric optimized simplification and texture techniques are proposed and researched in detail, along with the analysis of the general characteristic of ancient and modern architectures. Optimized techniques such as Level of Detail, structure optimization, mapping optimization and texture-baked mapping optimization are researched specially.

本文在分析古代建筑与现代建筑特点的基础上,分别以乐山大佛景区古建筑群以及平度奥林匹克体育公园现代建筑仿真为例,深入研究分别适合古代建筑与现代建筑的几何优化与纹理优化技术,重点研究并建立了多层次细节优化、结构优化、贴图优化、实例优化与烘焙优化建模技术。

Carl Ludwing explains how this technique differs from traditional texture mapping : when you want something to be in a certain area, like a grease spot, everyone else tends to do it with standard texture-mapping tools. But if I take a painted map and map it on, then I've wrapped a two-dimensional object around a three-dimensional object, and there are all sorts of positioning problems associated with that. Also, when you transition to another subpart of the character, you have to provide a whole new set of coordinates.

卡尔·路德温解释了这一技术与传统材质贴图技术的不同之处,比如说:如果想把油点一类的东西贴到某个地方,别人都会用标准的材质贴图工具来完成,但是如果我先拿来一张着色的地图,把这个油点标在上面,那就等于把一个三维物体安置在二维环境当中,随之会出现各种定位方面的问题,同样,如果你要观察目标的另一处次要部位,就必须给出新的坐标。

H. Yeung, Yang, Liu, Yan Hong, ZHUANG Guang-Ping Tang a bright, Yang Fan, Liu Xiaobo, Gong Pengfei, Shou-Cheng Wang, Yangming Jun, ZHANG Min, Yu Alfonsin, Cao Xiuying, Wang JF, Yang Deming, LIU Chang, SONG Li Cai, ZHOU Bin, Ma Liang, Yu Gui-silver, Wujiang, Shaanxi Bureau of Surveying and Mapping, the National test of a large group, the State Bureau of Surveying and Mapping agencies, China Surveying and Mapping propaganda Center, the State Bureau of Surveying and Mapping Management Information Center comrades to attend the meeting.

参加国测一大队采访宣传的中央新闻媒体记者赵亚辉、段欣毅、杨维汉、杨光、刘军、殷泓、庄光平、汤一亮、杨晓凡、刘晓波、宫鹏飞、王守城、杨铭军、张敏、俞方辛、操秀英、王剑锋、戴明阳、刘畅、宋利彩、周斌、马亮、喻贵银、吴江,陕西测绘局、国测一大队、国家测绘局机关、中国测绘宣传中心、国家测绘局管理信息中心的有关同志参加会议。

The effect of QTL mapping was influenced by many factors including population structure and size, number of QTLs, density of genetic markers, heritability of traits etc., especially the genetic and statistic models, so it is essential to select appropriate method according to actual situations before mapping QTLs. In this study, backcross population for QTL mapping was constructed by computer simulation in order to study power of detection and mapping precision of QTLs at different levels of factors.

影响QTL 定位效果的因素很多,包括群体类型、规模、涉及的QTL 数目、遗传标记的密度、性状遗传力等等,特别是分析中使用的遗传和统计模型对QTL 检测和定位有较大的影响。

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