视觉图像三维重构计算一般性框架研究

Research on the Common Framework of 3D Reconstruction Computation for Computer Vision

三维实体数字图像重构建模是当前计算机视觉研究领域的热点课题,涉及到相机标定、对应点匹配和三维重构计算等关键技术。本文回顾了三维重构建模的研究现状,分析了现有理论和方法在实际应用中存在的问题;在此基础上进行了相关研究,总结出了三维重构计算的一般性框架,提出了一些研究观点和方法,并探讨了三维重构技术的难点和发展趋势。

3D reconstruction modeling, which involves camera calibration, image points mapping and reconstruction computation, is currently a hot problem in the research field of computer vision. In this paper, the recent researches of 3D reconstruction modeling for computer vision are reviewed. Based on summarizing and studying these methods, this paper proposes a common framework for 3D reconstruction computation and presents some potential research viewpoints and schemes. The difficulties and development trend of 3D reconstruction are also discussed in this paper.