The number of independent kruppa constraints from n images N幅圖像的kruppa方程的獨(dú)立個(gè)數(shù)
Step - by - step self - calibration algorithm of digital camera based on kruppa equations 方程的相機(jī)分步自標(biāo)定方法
Under changeable intrinsic parameter circumstance , a linear camera self - calibration method is proposed in this paper 在可變內(nèi)參數(shù)模型下,本論文還提出了一種基于kruppa方程的線性自標(biāo)定方法。
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(jià)值: 1我們會(huì)知道要完全自標(biāo)定一個(gè)變參數(shù)的攝像機(jī)是不可能的
However , to our knowledge , a formal proof of how many independent kruppa constraints exist out of these n ones is unavailable in the literature 那么,這些kruppa方程中,有多少是獨(dú)立的呢?或者說(shuō),由這些方程最多可以標(biāo)定多少個(gè)攝像機(jī)的內(nèi)參數(shù)呢?
Zhan - yi hu , yi - hong wu , fu - chao wu , and song - de ma national laboratory of pattern recognition , institute of automation , chinese academy of sciences beijing 100080 , p . r . china 暫缺自1992年faugeras , luong ,及maybank介紹kruppa方程以來(lái), kruppa方程一直為攝像機(jī)自標(biāo)定領(lǐng)域中應(yīng)用最廣泛的技術(shù)
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(jiǎn)化的kruppa方程進(jìn)行攝像機(jī)自標(biāo)定,估計(jì)攝像機(jī)內(nèi)參數(shù)矩陣,降低了人機(jī)交互的可能性。
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 然后討論了如何實(shí)現(xiàn)基于兩幅照片的攝像機(jī)自定標(biāo),我們通過(guò)kruppa方程較好地解決了這個(gè)問(wèn)題。
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(lǐng)域中的許多問(wèn)題歸根結(jié)底轉(zhuǎn)化為方程組的求解問(wèn)題,如果未知參數(shù)的個(gè)數(shù)多于獨(dú)立方程的個(gè)數(shù),在理論上,這些參數(shù)無(wú)法通過(guò)這個(gè)方程組求解得到
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(guò)對(duì)攝像機(jī)內(nèi)參數(shù)的合理假設(shè),避免了一般使用kruppa方程標(biāo)定時(shí)的非線性和多義性,并最終將固定內(nèi)參數(shù)下的標(biāo)定問(wèn)題簡(jiǎn)化為一個(gè)二次方程的求解。