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 本文主要研究復射影空間中的全實偽臍子流形:討論它們的構造,并給出具體例子
After obtaining correct projective depths , we decompose the measurement matrix into camera motion in projective space and projective reconstruction by svd 在獲得正確的射影深度后,通過奇異值分解將測量矩陣分解為射影空間下的攝像機運動和物體三維幾何形狀(射影重構) 。
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 首先介紹了射影空間中圓環(huán)點的基本概念和性質,然后利用其性質建立攝像機內(nèi)參數(shù)的約束方程,實現(xiàn)攝像機自定標。
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曲線上可展曲面造型的方法:一個是作為單參數(shù)平面族包絡面的可展曲面構造,另一個是作為脊線的切線曲面的可展面構造。
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 為了恢復場景或物體在歐氏空間的形狀,需要估計攝像機的內(nèi)部參數(shù),完成從射影空間到歐氏空間的轉變,這個過程稱為攝像機定標。
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間中t - blocking集, arcs和caps中元素個數(shù)的上界值。不僅用自己的方法簡化了某些定理的證明過程,改進了一些定理的結果,而且還證明了一些新的精確值和上界值。
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 它利用攝像機拍攝場景或物體不同角度的圖象,根據(jù)不同圖象之間的幾何關系估計攝像機的外部參數(shù)(即攝像機的位置和方向)恢復場景在射影空間的幾何模型,再利用自定標技術估計攝像機的內(nèi)部參數(shù)并進而完成場景在歐氏空間的重建。