提出了一种利用刚性连接于光学系统的微机械陀螺仪的光学图像拼接加速算法.该方法基于相机投影模型和坐标变换关系建立相机运动与像素坐标移动的关系; 根据陀螺仪数据计算拍摄前后两幅待拼接图像期间相机的旋转角度, 确定两幅待拼接图中特征点搜索窗口大小; 然后基于SURF特征提取算法, 提取待拼接两幅图片中的特征点, 在搜索窗口内寻找匹配特征点对, 避免了全局搜索从而减小计算量, 加快匹配速度.实验搭建了硬件平台以验证算法可行性, 与传统全局搜索匹配相比, 运行时间减少了31%.

A optical image mosaic methods based on a micro-electro-mechanical system gyroscope sensor mounted with camera rigidly was presented. The relation between the camera rotation angles and the movements of point’s image coordinates is derived based on camera projection model and coordinates transformation. The rotation angle is calculated by the data from gyroscope, thus the search window size could be obtained; then by using the SURF feature extraction algorithm to extract the feature points, the feature matching is conducted in the search window which avoids global searching and accelerates the matching speed by reducing computation. The experiment platform was built to verify the algorithm. The result shows that 31% running time was reduced compared to the traditional global matching.