摘要
根据双目立体视觉成像原理来完成特征点深度信息的恢复,提出了一种基于图像的三维建模方法。利用该方法标定出相机的全部内外参数;利用双目立体视觉成像原理,根据不同位置拍摄的2幅或多幅照片中的对应点的图像坐标,计算它们在空间中对应点的三维坐标,实现了由多幅图像来恢复物体的深度信息;最后,利用这些坐标在Rhino中实现了由离散的稀疏点云数据建立三维实体模型。
The resumption of characteristic points＇ deepness information is completed based on stereo vision measurement principle, also presented is a image based three-dimensional modeling method. All interior and exterior parameters of the camera are calculated. After the camera parameters are obtained, the corner points＇ coordinates in 3D space are calculated based on the corresponding image points＇ coordinates in two or more images. Therefore, the deepness information of the object can be obtained form several images. Finally, 3D model of the object is constructed in Rhino by using the discrete and sparse points cloud of the corner points.
出处
《河北科技大学学报》
CAS
2008年第3期219-222,249,共5页
Journal of Hebei University of Science and Technology
基金
国家自然科学基金资助项目(60675014)
关键词
立体视觉
摄像机标定
三维建模
stereo vision
camera caliration
three-dimension modeling
