基于FAST关键点的增强现实跟踪注册算法

介绍了一种基于 FAST关键点的无标志点增强现实跟踪注册算法. 算法在标定关键帧图像的基础上,对获取的视频图像,使用FAST角点探测算法提取特征点并建立相应点的SURF描述. 经过RANSAC算法消除外点后,将这些点与关键帧图像中的FAST关键点进行匹配,获取摄像机的姿态,完成系统的自动跟踪注册. 实验结果表明,算法实时性好、鲁棒性强、跟踪定位精度高,有效推动了AR在智能终端的应用. 

System Algorithm Based on FAST Keypoints for Markerless Augmented Reality Applications

The tracking system algorithm applied for markerless augmented reality applications based on FAST keypoints was presented. A small number of key frames of the real environment were calibrated offline and used to detect the target object in video frame. During the online stage, the target object was automatically detected by matching the FAST keypoints extracted on the input image and the selected key frames. The RANSAC algorithm was employed to further optimize point correspondences and discard outliers. The camera pose was accurately estimated using an image registration algorithm. Experimental results demonstrate that our algorithm was real-time, accurate, robust, and promote the AR application on the intelligent terminals.