一种基于双幅图像的物体3维重建  

Object 3D Reconstruction Based on Image

作　　者：刘晓平[1] 徐伟[1] 余烨[1] 

机构地区：[1]合肥工业大学计算机与信息学院可视化与协同计算(VCC)研究室,合肥230009

出　　处：《中国图象图形学报》2009年第7期1453-1457,共5页Journal of Image and Graphics

基　　金：国家自然科学基金项目(60673028);国家自然科学基金国际合作交流项目(60573174)

摘　　要：随着虚拟现实技术的发展,对物体进行快速有效建模逐渐成为了研究热点。基于图像建模技术是一种有效的建模方法,其最大的优点是可以利用图像中的信息直接建立物体的几何模型,并且可以迅速构建出具有"照片级"真实感的3维模型。常规的方法是先求解摄像机内外参数,再求解空间中各点在世界坐标系下的位置。提出了一种基于两幅图像利用灭点性质进行建模的新方法。该方法首先利用灭点属性推导出了相机中心在世界坐标系下的坐标位置的解析表达式,再利用两幅图像之间的空间几何约束关系,从空间约束关系中反算出物体各点的空间位置从而重建出物体几何模型,最后进行纹理映射。在物体重建的过程中只利用到了相机内参数,而跳过了对相机外参数的标定,实验结果表明,该方法简单可靠,可用于实现对拥有规则表面的物体3维重建。With the development of virtual reality,3D reconstruction based on image has drawn increasing attentions. The biggest merit of it is that the posture and texture information can be directly extracted from images to reconstruct geometric models with photo-reality simply and rapidly. The common method calibrates camera in the first step, the calculates space points position in a world coordinate. This paper shows a brand new method which reconstructs models from two images. Firstly, using properties of vanishing points to calculate the position of camera center in the world coordinate. In addition, according to the geometric restriction of the camera, the model posture and position can be acquired. Finally, we extract and rectify the texture from images. In this approach any extrinsic parameters is not needed. The result of experiments proves that the accuracy of this algorithm, and that it can meet the requirement of common object modeling.

关 键 词：虚拟现实 基于图像建模 几何模型 灭点 相机标定 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]