in this paper, ibmr method is adopted 本文采用ibmr的方法構(gòu)造虛擬環(huán)境。
ibmr, on the other hand, enhances the rendering speed and reduces the rendering complexity in comparison with traditional graphics 基于圖像的建模與繪制技術(shù)使用了圖像,使得繪制速度和質(zhì)量大大提高。
augmented reality ( ar ) and image-based modeling and rendering ( ibmr ) are the two hotspots of computer graphics in recent years 增強現(xiàn)實技術(shù)和基于圖像的建模與繪制技術(shù)是近年來計算機圖形學領(lǐng)域研究的熱點。
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 然后討論了如何實現(xiàn)基于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。
but these two techniques still have shortcomings . to ar, it is still very hard to reach realistic synthesis virtual objects and real scene . to ibmr, it is still very hard to deal with dynamic scene 但是增強現(xiàn)實中如何更加真實地顯示二者合成后的效果仍然沒有很好地解決,基于圖像的建模與繪制技術(shù)目前主要停留在場景的靜態(tài)編輯。