kruppa 中文意思是什麼
kruppa
解釋
克魯帕-
In the self - calibration scheme, the thesis emphasizes the accuracy of camera intrinsic and extrinsic parameters. we presents an accurate f method based on corresponding point adjustment. the method adjusts coresponding points according to the fixedness of projective transformed cross ratio, then calculates f matrix accurately through linear and non - linear methods. when computing intrinsic parameter, a matrix, we simplify the step, and stress on the two important parameters of a. the result will be getten through solving kruppa equation based on svd decomposition. in order to compute extrinsic parameters, we use linear method to get initial r and t, then apply non - linear method to accurate them
提出了基於匹配點調整的f求精方法，先根據攝影交比不見性對手工選擇的匹配點進行調整，再用線性、非線性結合的方法求精f矩陣；在計算內部參數a中，進行了一定的簡化，把重心放在a中重要的兩個參數上，用svd分解法計算kruppa方程；在計算外部參數時，首先用線性法求解r 、 t ，然後再用非線性法迭代求精。 -
8 sturm p. a case against kruppa s equations for camera self - calibration. in proc. ieee international conference on image processing, chicago, illinois, october, 1998, pp. 172 - 175
工程領域中的許多問題歸根結底轉化為方程組的求解問題，如果未知參數的個數多於獨立方程的個數，在理論上，這些參數無法通過這個方程組求解得到 -
This one - constraint - less property of the kruppa equations is their inherent deficiency and is independent of camera motion. this deficiency is due to their failure of automatic enforcement of the rank - three - ness on the absolute quadric
從而， kruppa方程的獨立個數比基於絕對二次曲面或基於無窮遠平面的自標定方程的獨立個數少1 ，這是源於kruppa方程不能保證絕對二次曲面的秩為3 ，是由kruppa方程自身的特性決定的，而與攝像機的運動無關。 -
In the first part, depending on three or more images, the main research work are listed as follows : ( l ) using svd decomposition to realize projective reconstruction ; ( 2 ) realizing camera self - calibration by solving kruppa ' s equation ; ( s ) recovering euclidean reconstruction from projective reconstruction. depending on only two images, the main researches are : ( l ) making out infinite plane homography matrix by using scene structure information, then recovering affine reconstruction from projective reconstruction ; ( 2 ) making out the absolute conic images by using scene structure information, and then recovering euclidean reconstruction from projective reconstruction
在第一部分中，針對三幅及三幅以上的圖像，主要研究：利用矩陣奇異值分解（ svd ）實現射影重構，通過求解kruppa方程實現攝像機自標定，由射影重構恢復歐氏重構；針對只有兩幅圖像的情況，主要研究：利用場景結構信息求解無窮遠平面的單應矩陣，由射影重構恢復仿射重構，利用場景結構信息求解絕對二次曲線的像（等價于標定攝像機） ，由仿射重構恢復歐氏重構。 -
In this paper, we prove that given n images captured by a pinhole camera with varying parameters and under general motion, the number of independent kruppa constraints is 5n - 9, and it is less than that of independent constraints from the absolute quadric by only one
本文首次從代數上嚴格證明了，攝像機在通常運動下當攝像機的內參數變化時，從n n 3幅圖像得到的所有kruppa方程中，只有5n - 9個是獨立的 -
4 zeller c, faugeras o. camera self - calibration from video sequences : the kruppa equations revisited. research report 2793, inria, 1996
以上研究具有一定的理論價值: 1我們會知道要完全自標定一個變參數的攝像機是不可能的 -
Step - by - step self - calibration algorithm of digital camera based on kruppa equations
方程的相機分步自標定方法 -
First, we summarize the recent development in related research areas : vr and ar, traditional graphics and ibmr. then we discuss self - calibration based on two photographs. we reach our aim via kruppa equation
然後討論了如何實現基於兩幅照片的攝像機自定標，我們通過kruppa方程較好地解決了這個問題。 -
The number of independent kruppa constraints from n images
N幅圖像的kruppa方程的獨立個數 -
However, to our knowledge, a formal proof of how many independent kruppa constraints exist out of these n ones is unavailable in the literature
那麼，這些kruppa方程中，有多少是獨立的呢？或者說，由這些方程最多可以標定多少個攝像機的內參數呢？ -
Secondly, it determines the camera " s intrinsic calibration parameters with a simple form of the kruppa equations ( self - calibration ), which reduces the possibility of human involvement
其次，利用簡化的kruppa方程進行攝像機自標定，估計攝像機內參數矩陣，降低了人機交互的可能性。 -
Through the reasonable assumption of intrinsic parameters, we can avoid the general nonlinear and ambiguity in solving kruppa equation. at last, the camera self - calibration can be simplified to solving a quadratic equation
通過對攝像機內參數的合理假設，避免了一般使用kruppa方程標定時的非線性和多義性，並最終將固定內參數下的標定問題簡化為一個二次方程的求解。
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