摘要
提出了一种基于对应点匹配的物体深度信息测量方法。首先给出了物理图像坐标系与像素坐标系之间的关系;其次,借助于相关法计算两幅图像中目标的相似度,以实现同一目标在不同成像中的匹配;然后从目标几何形状的角点出发,结合对应点的外极线约束条件,提出一种有效的对应点匹配算法,并利用对应点的视差计算基于光轴平行的双摄像机成像的目标深度信息。计算机仿真结果验证了算法的有效性。
A method for measuring the depth of an object was proposed based on the corresponding points matching. Firstly, the transform relation between physics image coordinate system and pixel coordinate system was presented. Secondly, the matching of the same object in two different images was achieved by use of the similarity calculated through the correlation algorithm of two images. Thirdly, from the viewpoint of the comer of the object, a method for matching the corresponding points was presented based on the epipolar restriction of corresponding points. By making use of the disparity of corresponding points, the depth information was computed based on the images that were obtained from the parallel dual cameras. Simulation results demonstrate the effectiveness of this algorithm.
出处
《计算机应用》
CSCD
北大核心
2006年第8期1873-1875,共3页
journal of Computer Applications
基金
河南省科委自然科学基金资助项目(0523020600)
河南省高校杰出科研人才创新工程资助项目(2005KYCX012)
关键词
立体视觉
图像匹配
相关法
视差
外极线约束
stereo vision
image matching
correlation
disparity
epipolar restriction
