CASIA OpenIR  > 类脑智能研究中心
基于图像运动的三维重建及虚拟化应用
李林尧; 张兆翔; 王蕴红; 王超; Lin-yao Lin
Source Publication计算机科学
2011-07-01
Volume38Issue:7Pages:273-276
Other AbstractThis paper presented a method to robustly and rapidly reconstruct general 3D scene from 2D images in camera, with the appropriate virtual application to show the effects of reconstruction. We presented novel camera calibralion and scene reconstruction using scale-invariant feature points. Scale invariant feature has impressive matching ability in camera's vidco,which greatly reduces the restriction of facility in camera calibration, broadens the area of video reconstruction. With some optimization, we enhanced the accuracy of reconstruction and speed. At last, we processed the visualized application, which shows the effects of our system. The result illustrates that our system is capable of producing accurate and fast scene structure from video in a very few seconds.
KeywordFeature Matching Camera Calibration 3d Reconstruction Virtual Reality Structure From Motion
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13231
Collection类脑智能研究中心
Corresponding AuthorLin-yao Lin
Recommended Citation
GB/T 7714
李林尧,张兆翔,王蕴红,等. 基于图像运动的三维重建及虚拟化应用[J]. 计算机科学,2011,38(7):273-276.
APA 李林尧,张兆翔,王蕴红,王超,&Lin-yao Lin.(2011).基于图像运动的三维重建及虚拟化应用.计算机科学,38(7),273-276.
MLA 李林尧,et al."基于图像运动的三维重建及虚拟化应用".计算机科学 38.7(2011):273-276.
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