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基于双目视觉的相对定位定向研究

Research of relative positioning based on binocular visual orientation
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摘要 设计一个基于尺寸不变特征变换SIFT特征提取算子的双目相对定位定向系统,可解决极端环境下一般导航系统无法准确定位定向的问题。实现过程采用2个相对位置固定的相机,利用SIFT特征点尺度及旋转不变的性质精确匹配图像序列中的投影点,并根据坐标变换来测定相机的移动距离和旋转角度,从而可以计算出相机轨迹的变化,达到了相对的定位和定向的效果。该系统的定位定向精度可达86%。 Design a binocular orientation relative positioning system based on the SIFT (Scale Invariant Feature Transform) operator feature extraction, to solve the problem that general navigation can not get the accurate location and orientation in the extreme environments. The system design used a pair of fixed cameras, exactly matched the projection points using the nature of scale and rotation invariant of SIFT feature points in image sequences, and worked out the distance and rotation angle of camera movement according to coordinate transformation. This process can calculate the changes in the camera trajectory, reaching relative positioning and orientation effects. Its accuracy can reach 86%.
出处 《电子设计工程》 2010年第8期137-139,共3页 Electronic Design Engineering
基金 武汉大学大学生科研重点项目(S2008215)
关键词 MATLAB SIFT 坐标变换 双目立体视觉 Matlab SIFT coordinate transformation binocular stereo vision
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