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(fù)射影空間中的全實(shí)偽臍子流形:討論它們的構(gòu)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(guò)奇異值分解將測(cè)量矩陣分解為射影空間下的攝像機(jī)運(yùn)動(dòng)和物體三維幾何形狀(射影重構(gòu)) 。
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(diǎn)的基本概念和性質(zhì),然后利用其性質(zhì)建立攝像機(jī)內(nèi)參數(shù)的約束方程,實(shí)現(xiàn)攝像機(jī)自定標(biāo)。
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(gè)是作為單參數(shù)平面族包絡(luò)面的可展曲面構(gòu)造,另一個(gè)是作為脊線的切線曲面的可展面構(gòu)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(fù)場(chǎng)景或物體在歐氏空間的形狀,需要估計(jì)攝像機(jī)的內(nèi)部參數(shù),完成從射影空間到歐氏空間的轉(zhuǎn)變,這個(gè)過(guò)程稱為攝像機(jī)定標(biāo)。
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(gè)數(shù)的上界值。不僅用自己的方法簡(jiǎn)化了某些定理的證明過(guò)程,改進(jìn)了一些定理的結(jié)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(jī)拍攝場(chǎng)景或物體不同角度的圖象,根據(jù)不同圖象之間的幾何關(guān)系估計(jì)攝像機(jī)的外部參數(shù)(即攝像機(jī)的位置和方向)恢復(fù)場(chǎng)景在射影空間的幾何模型,再利用自定標(biāo)技術(shù)估計(jì)攝像機(jī)的內(nèi)部參數(shù)并進(jìn)而完成場(chǎng)景在歐氏空間的重建。