节点文献
序列图像场景一致性判断
Scene identification in image sequence
【摘要】 首先在序列的两幅图像中检测兴趣点 ,并运用灰度差分不变量进行两点集之间的匹配 .然后用改进的Hartley算法估计F矩阵 .最后利用对极几何约束进行两幅图像的场景一致性判断 .实验结果表明 ,该方法是有效的 .
【Abstract】 Firstly, we detect the points of interest in a pair of images in image sequence, and then match the point set using the gray value differential invariants. Secondly, the fundamental matrix is estimated using an improved Hartleys eight point algorithm. Thirdly, we judge whether the secene between the two images is the same or not by the epipolar geometry constraint. The effectiveness of the proposed algorithm is verified by extensive experiments on real images.
【关键词】 兴趣点;
对极几何;
场景一致性判断;
图像检索;
【Key words】 interest points; epipolar geometry; scene identification; image retrieval;
【Key words】 interest points; epipolar geometry; scene identification; image retrieval;
【基金】 国家自然科学基金资助项目 ( 6 9982 0 0 7)
- 【文献出处】 西安电子科技大学学报 ,Jounal of Xidian University , 编辑部邮箱 ,2002年02期
- 【分类号】TP391.4
- 【被引频次】1
- 【下载频次】94