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projective相关的网络例句

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This paper extends the solution methods for 2-D projective transformation matrix from 4 points corresponding to variety combinations of points and lines corresponding, such as 4 points, 4 lines, 1 point and 3 lines, 3 lines and 1 point, and 2 points and 2 lines, etc.

该文把求解2-D射影变换矩阵的方法从单纯的四点对应扩展到多种组合形式的四元素对应当中,如:4点、4线、3点1线、3线1点和2点2线等。

To begin with, through taking merely feature points on image pair obtain the initial projective transformation matrices.

对利用手持普通数码相机原地旋转拍摄的序列场景图像,本文研究以图像特征匹配和目标函数优化完成了平面全景图像拼接,改进了Szeliski算法。

The method that I used in the project is proposed in 1997, Mann gave techniques for automatically finding the eight-parameter projective coordinate transformation that relates two frames taken of the same static scene.

在项目中我用到的方法是 1997年提出的,曼恩给出了一项自动寻找到八个参数的坐标变换,将采用同一场景的两幅拼接起来。

Second, more feature points are extracted for advanced registration based on projective transformation.

实验表明:该方法具有精度高、速度快、鲁棒性强等特点,是一种高西安理工大学硕士学位论文效的全自动配准方法。

When rotational axis are unknown, the general solution of camera intrinsic parameters is obtained by the eigenvectors of 2D projective transformation.

在摄像机绕未知轴旋转时,根据相应的2D投影变换,运用矩阵特征向量理论给出了内参数的通解公式。

Projective transformation between two rational quadratic Bzier curves is determined by pairs of corresponding control vertices and weights.

对于有理二次Bzier 曲线,两条有理二次Bzier 曲线间的射影变换由它们对应的控制顶点和权因子所确定。

Research on the theory of structure light sensor Originating from the principles of projective and perspective transformation, for the first time, the models of coordinate transformation between workpiece and camera with arbitrary angle of laser light and camera are presented. The model give some very important rules for the design of structure light sensor, and is very important to the design of structure light sensor, the sensor designed based on the theory above is used in automatic welding.

结构光传感器的理论研究依据透视变换理论给出了光源倾斜照射和摄象机倾斜接收情况下,被检测物体与摄象机之间的一般坐标变换数学模型,该模型揭示出结构光传感器设计时应遵循的一些原则,对结构光传感器的设计具有非常重要的指导意义,基于该模型设计的结构光传感器已在自动焊接实验中获得了成功的应用。

After studying the applications of image algebraic feature thoroughly, we found that when algebraic feature is used to face recognition, projective transformation is generally used to compress the dimension of extracted image feature, then classifier is designed to recognize.

对图象代数特征应用作了深入研究之后,发现在应用代数特征进行人脸识别研究时,一般用投影变换来压缩提取的图象特征维数,然后设计分类器进行识别。

Originating from the principles of projective and perspective transformation, the models of coordinate transformation between workpiece and camera with arbitrary angle of laser light and camera are presented.

对电弧光的干扰进行了深入的研究,建立了电弧干扰的光照模型;依据透视变换理论,给出了光源倾斜照射和摄像机倾斜接收情况下,被检测物体与摄像机之间的一般坐标变换数学模型。

A real-time method of projective transformation (with less than 1 ms of parameter processing) and an auto-calibration method for camera's main pose (with the time cost less than 0.5 s) were presented.

试验和相应的误差分析结果令人满意(160×120显示分辨率下,能在55 ms内自主做出经透视投影变换的作业机理想移动方向决策,普通难度的相似颜色序列图像的分割误差被控制在了平均5%以内)。

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