青岛大学学报（自然科学版）2013，Vol.26Issue(1)：55-59,65,6.DOI:10.3969/j.issn.1006-1037.2013.02.12
基于物体几何性质的单幅图像三维重建
3D Reconstruction from a Single Image Based on the Geometric Properties of the Object
摘要
Abstract
3D reconstruction from a single image has been an active research topic for many years, which needs less information and avoids the matching difficulty of the 3D reconstruction of multiple images. The calculation of objects' depth value is a hard work for reconstruction from a single image. In order to figure out this problem, some objects are rebuilt by using the geometric properties of rule geometry from a single image. Firstly, the camera is calibrated by using the vanishing points. Secondly, the least two-dimensional points needed are captured manually, and the geometric properties of the objects are calculated by using calibration matrix and geometric constraints. Finally, the 3D reconstruction and texture mapping is implemented by OpenGL. The experiments demonstrate that this approach can recover the entire three-dimensional structure of the object accurately and meet the needs of the general virtual reality.关键词
单幅未标定图像/消失点/相机标定/物体几何性质/三维重建Key words
single uncalibrated image/ vanishing points/ camera calibration/ geometric properties of objects/ 3D reconstruction分类
信息技术与安全科学引用本文复制引用
石仁爱,赵志刚,吕慧显,赵毅..基于物体几何性质的单幅图像三维重建[J].青岛大学学报（自然科学版）,2013,26(1):55-59,65,6.基金项目
国家自然科学基金项目(61170106),青岛市科技计划项目基金(06-2-2-2-JC) （61170106）
