Finally, an optimization method for reaching at an image point at an arbitrary wavelength is given.
基于上述原理，提出了一种非中心波长下变周期光栅“象点”位置的优化设计方法。
The matching of image point correspondences is one basic problem in computer vision, which is also a core problem.
对应点匹配是计算机视觉中的一个基本问题，也是一个核心问题。
Estimate fingerprint image point Orient field and block Orient field, then binarize the fingerprint image based on its block Orient field.
对指纹图像进行点方向场和块方向场估计，并根据估计的块方向场对指纹图像进行二值化处理。
Absrtact: Using stereo matching technique and the image point distance information can make the three-dimensional representation possible.
摘要：应用立体匹配技术，通过像点获取景物的距离信息，使得三维立体再现成为可能。
For aerial photograph pair, the Orthophotomap of the image - overlapped region can be made by calculating directly spot height at image point.
对于航摄像对，可以直接通过像对解算像点的地面点高程，进而制作影像重叠区的正射影像。
Firstly, the zoom ratio may be enlarged. Secondly, the image point movement may be easily eliminated. The principle of optical compensated step zoom lens is explained.
这种变焦距物镜有两个优点，一是可以实现高倍率变焦，二是容易消除在变焦过程中产生的像点移动现象。
Base on the concept of image point diameter, formula was obtained to estimate concentration limit when particle-imaging technique was used for measuring particulate flow.
基于像点直径的概念，推导了颗粒成像法测量颗粒场时的最大极限浓度估算公式。
Intensity space distribution near image point of optical system is derived based on the accurate amplitude (therefore the intensity) analytic expression for Fresnel diffraction.
根据准确的菲涅耳衍射振幅和光强解析表达式推导出光学系统像点附近的光强空间分布。
The deformation correcting mathematical model adopted in the paper is the same as the mathematical model of correcting image point coordinates system errors in aerial surveying.
该文采用的变形纠正数学模型与航测中改正像点坐标系统误差的数学模型相同。
In order to describe the non-linear relations between 3d geometry and stereo image point in the binocular vision, traditional calibration method involves many complicated mathematical models.
为了描述双目视觉中三维空间物点坐标和两个摄像机像面像点坐标间的非线性关系，传统的标定方法需要建立复杂的数学模型。
In order to describe the non-linear relations between 3d geometry and stereo image point in the binocular vision, traditional calibration method involves many complicated mathematical models.
为了描述双目视觉中三维空间物点坐标和两个摄像机像面像点坐标间的非线性关系，传统的标定方法需要建立复杂的数学模型。
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