在无标记增强现实中,基于视觉即时定位与地图构建,结合ORB特征提取算法和顺序抽样一致性,提出了一种改进的注册方法。利用相似函数衡量匹配样本点对之间的差异性,从具有最高品质函数的数据子集中抽取样本,得到较优的匹配点对,完成了三维地图重建过程中的平面检测。通过奇异值分解,实现了虚拟物体的方向和位置控制;结合相机的位姿估计,完成了虚拟物体的注册。实验结果表明,所提方法的平均注册效率提高了34.5%。

In the markerless augmented reality, an improved registration method which combines oriented FAST and rotated BRIEF (ORB) feature and sequential sampling consistency is proposed based on visual simultaneous localization and mapping (VSLAM). The difference between pairs of matching samples is measured through the similarity function, and the samples are extracted from the data subset of the highest quality function. So that the better matching point pairs are obtained and the plane detection is completed in the three-dimensional map reconstruction process. The direction and position of the virtual object is represented by SVD. The registration of the virtual object is completed with the use of pose estimation of cameras. The experimental results show that the proposed method makes the average registration efficiency increases by 34.5%.