计算机科学 ›› 2011, Vol. 38 ›› Issue (7): 273-276.

• 图形图像 • 上一篇    下一篇

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   

  1. (北京航空航天大学计算机学院 北京100191)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家重点基础研究发展973计划(2010CB327902),国家自然科学基金(60873158,61005016,61061130560)和中央高校基础科研业务费资助。

Motion-based 3D Reconstruction and Applications to Virtual Reality

LI Lin-yao,ZHANG Zhao-xiang,WANG Yun-hong,WANG Chao   

  • Online:2018-11-16 Published:2018-11-16

摘要: 提出了一种稳定、快速地获取摄像机视频运动图像的三维重建方法,并对该运动图像做适当的虚拟化处理以展示重建效果。采用基于尺度不变特征点匹配的摄像机标定进行三维重建。尺度不变特征对于视频图像中的特征具有优秀敏锐的匹配能力,极大地放宽了摄像机标定对于设备上的限制,拓宽了实时三维重建的适用范围。通过对系统的一系列优化,不但提升了三维重建的精度,减少了错误匹配对摄像机标定的影响,而且进一步提升了处理速度。通过在三维重建的基础之上进行虚拟化处理,展示了本系统的三维重建效果。实验结果表明,该系统适用范围广,处理速度较快,重建精度高,实现了基于视频运动图像的三维重建。

关键词: 特征匹配,摄像机标定,三维重建,虚拟现实,基于运动恢复结构

Abstract: This 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.

Key words: Feature matching, Camera calibration, 3D reconstruction, Virtual reality, Structure from motion

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