摘要
摄像机姿态估计是影响三维注册成功与否的关键技术,目前在基于基本矩阵的估计中最流行的是八点算法,但八点算法针对平面场景出现明显的退化,因此在针对古建筑室内环境的注册应用中,为了扩大场景的适用范围,利用计算机视觉技术,对基于五点算法和八点算法的两种算法进行研究。以盒子结构为古建筑的室内环境结构进行模拟,结果表明,五点算法较八点算法恢复的三维模型有更高的精确性。
Camera pose estimation is the key technology of 3D registration.At present,based on the fundamental matrix estimation,the eight-point algorithm is the most popular,but the eight-point algorithm is obvious degradation in the case of planar scene.In order to expand the application scope of the scene in the ancient ruins of indoor environment registration application,the two algorithms based on the five-point algorithm and eight-point algorithm are studied by computer vision.Using the box structure as the environmental structure of ancient buildings,the experimental results show that five-point algorithm than eight-point algorithm has higher accuracy in the recovery of 3D model.
出处
《计算机与现代化》
2012年第11期214-216,共3页
Computer and Modernization
基金
陕西省教育厅基金资助项目(11JK1000)
西安工程大学博士科研启动基金资助项目(BS0722)
关键词
注册
五点算法
八点算法
古建筑
计算机视觉
三维模型
registration
five-point algorithm
eight-point algorithm
ancient buildings
computer vision
3D model
