projective space造句
例句与造句
- Quaternionic projective space
四元数射影空间 - Complex projective space
复射影空间 - Real projective space
实射影空间 - In this paper , we mainly study the totally real pseudo - umbilical sub - manifolds of a complex projective space : we discuss how to construct them and give the examples
本文主要研究复射影空间中的全实伪脐子流形：讨论它们的构造，并给出具体例子 - After obtaining correct projective depths , we decompose the measurement matrix into camera motion in projective space and projective reconstruction by svd
在获得正确的射影深度后，通过奇异值分解将测量矩阵分解为射影空间下的摄像机运动和物体三维几何形状(射影重构) 。 - It's difficult to find projective space in a sentence. 用projective space造句挺难的
- We firstly talk about the basic concept and property of absolute point in projective space . then we build the constrained equations of camera intrinsic parameters by using its property and calibrate the camera
首先介绍了射影空间中圆环点的基本概念和性质，然后利用其性质建立摄像机内参数的约束方程，实现摄像机自定标。 - 3 . by using the dual concept between points and planes in 3d projective space , two classes of developable surfaces on c - b zier curve are constructed . the former is as a envelope of one - parameter plane family
Zier曲线上可展曲面造型的方法：一个是作为单参数平面族包络面的可展曲面构造，另一个是作为脊线的切线曲面的可展面构造。 - For recover the real structure of scene we should estimate the interior parameters of camera in further , and transform the structure of scene from projective space to euclidean space , this process named camera calibrating
为了恢复场景或物体在欧氏空间的形状，需要估计摄像机的内部参数，完成从射影空间到欧氏空间的转变，这个过程称为摄像机定标。 - In this paper , we are concerned with the sizes of t - blocking sets , ( k , r ) - arcs and caps in finite projective spaces , not only giving one theorem an elementary proof , improving some theorem " s results , but also proving some new exact values
本文研究了有限射影空间中t - blocking集， arcs和caps中元素个数的上界值。不仅用自己的方法简化了某些定理的证明过程，改进了一些定理的结果，而且还证明了一些新的精确值和上界值。 - According this technology , first we shot the scene from different angles use digital camera , then utilize the relation of epipolar geometry to estimate the exterior parameters ( the position and direction ) of cameras and to recover the scene in projective space , after this we use the technology of self - calibration to estimate the interior parameters of cameras and to recover the scene in euclidean geometry
它利用摄像机拍摄场景或物体不同角度的图象，根据不同图象之间的几何关系估计摄像机的外部参数(即摄像机的位置和方向)恢复场景在射影空间的几何模型，再利用自定标技术估计摄像机的内部参数并进而完成场景在欧氏空间的重建。