传统的3d模型像显示器中的像素网格一样，是在规则的网格中由描述信息的数据所构成。
Traditionally 3d models have been made from data describing information on a regular grid, like the grid of pixels on a monitor.
GEOS -5模型通常使用5公里每像素的分辨率运行，得到世界上最精细的全球气候模型，实际上它还能够使用更精细的3.5公里分辨率。
The GEOS-5 model normally runs at a resolution of 5 kilometers per pixel, though it can run at 3.5 kilometers, making it the most detailed global climate model in the world.
你从不同角度照了这些照片，送到我们的系统中，它会通过测量图像中的像素后的3d深度来自动生成3d模型。
You take these pictures from different viewpoints, send them to our system, and it automatically figures out a 3-d model by measuring the 3-d depth behind the pixels in the images.
一个物体空间的法线贴图，仅从整个模型的自身朝向检视物体，并据此解算在它表面的每个像素的方向。
An object space normal map only looks at the orientation of the entire model it's applied on to calculate the per pixel directions on it's surface.
针对目标模型内的背景像素造成目标跟踪定位偏差的问题，提出了一种适合于目标跟踪的模糊核直方图。
To resolve the problem that the background pixels in an object model induce localization errors in object tracking, a fuzzy kernel histogram was presented for object tracking.
综合运用阈值分割、边缘识别和像素标记法等图像识别技术，通过图像得到每个模型的相关定位信息。
By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image.
研究遥感数据像素级融合统一模型及相应的实现技术具有重要的理论和应用价值。
The generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theory analysis and application.
分析了三种不同的凹函数预测模型，提出了一种适合硬件实现的运动估计快速半像素级搜索算法。
A fast half-pixel motion estimation algorithm is proposed after analyzing three different mathematical prediction models based on concave functions.
该模型充分利用图像中每一个像素的预判断知识，设计COW工作站机群以结合实现并行算法。
This model made full use of the pre-judgment knowledge in the image, and designed a workstation of COW cluster to achieve the parallel algorithms.
提出了一种基于像素光照计算的设计分析方法及相应的光照计算参数的纹理表示模型；
Secondly, a technique on how to analyze and solve rendering problems with pixel shading is proposed, along with the methods on how to construct texture representation of lighting parameters.
对于采用本方法计算淹没区，准确性受地形图等高距大小、数字化采集精度、数字地面模型（DEM）高程精度以及格网间隔大小、像素探测分辨率等因素的影响。
The accuracy of flood area is mostly dependent on the contour interval of map, accuracy of digitizing map, accuracy of DEM, and interval of GRID, detecting resolution of pixels.
采用HIS颜色模型，以色度为主要特征量，设定阈值对烟草和异物的像素点进行判别。
The HIS color model is used and the chroma is taken as the most characteristic parameter.
提出一种鲁棒自适应表面模型，该模型中每个像素值的变化过程由一混合高斯分布描述。
A robust and adaptive appearance model is proposed, in which the value of each pixel over time is modeled by a mixture of Gaussians.
引入像素强度的先验概率分布模型，运用模拟退火算法选择合适的邻域结构，获得强度的最优估计。
The prior information of pixel intense distribution is introduced. Then simulated annealing algorithm is applied to choose the proper neighborhood structure, and the optimal estimate can be obtained.
研究了CCD亚像元(细分)原理并建立了数学模型，使CCD瞄准精度达到CCD像素的数十分之一。
CCD tiny photo principle analyzed in this paper. A math model is established, that improve the aiming precision.
对像素值属于多个分布模型的情况，用最小相似距离确定要更新的模型。
When a pixel could be represented by more than one distribution model, the model which has the minimum similarity distance was updated.
分析了云层背景下目标和云层在探测器上的时间响应特性，建立了四种类型的像素点时域模型。
Target and cloud's temporal profiles on detector are studied, and four temporal models are built.
采用YUV颜色模型，分析了各LED像素点的相对亮度值，对亮度不一致的像素点进行筛选与记录；
The YUV color model is used to analyze the relative luminance values of various LED pixels, to screen and record each LED pixel that luminance are not uniform;
它是一种艺术形式本身到布局这些坐标texel密度(利用纹理像素的量)最大限度地同时尽量减少拉伸(其UV和模型之间的比例失调)。
It's an art form in itself to layout these coordinates to maximize texel density (amount of texture pixels utilized) while minimizing stretching (disproportion between the model and its UV's).
图像的校正方法是对于校正后图像上的一点，经过摄像机模型找到它在畸变图像中的位置，用这个位置的像素代替校正图像上的点。
Having obtained the parameters of the camera, the X-ray image can be corrected by searching the undistorted pixel position in the distorted image.
首先，建立图像每一像素点的高斯分布模型，并根据序列中的当前帧及历史帧信息自适应地调整模型的参数。
First, a Gaussian distribution model for image pixel is proposed. The parameters contained in the model are adaptively updated based on the information from the current and historical frames.
我们在设计算法模型时考虑了这方面的重要性，利用像素点的平均采样提高了算法的效率。
We took into account the importance of this aspect in the design of algorithms model, and increased the efficiency of algorithm using the average sampling pixels.
再将改进后的FCM算法应用到CV模型的区域检测项，可较准确地使像素点归类，以此作为曲线的演化依据。
The improved FCM algorithm applied with the region fitting term of CV model, working as the reliance of evolving the level-set curve.
采用HIS颜色模型，以色度为主要特征量，设定阈值对烟草和异物的像素点进行判别。
The HIS color model is used and the chroma is taken as the most characteristic parameter. The threshold value is set to distinguish whether the pixel belongs to tobacco or foreign body.
在此基础上，依据直方图模型将互相遮挡的人体分割开来，最后根据求取的人体像素点的匹配关系来确定不同摄像机中同一个人的对应关系。
Occluded people would be divided into each other by the Gaussian-smoothing histograms. The matching relation of each person in different cameras could be found and thus the human tracking is realized.
在此基础上，依据直方图模型将互相遮挡的人体分割开来，最后根据求取的人体像素点的匹配关系来确定不同摄像机中同一个人的对应关系。
Occluded people would be divided into each other by the Gaussian-smoothing histograms. The matching relation of each person in different cameras could be found and thus the human tracking is realized.
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