光学精密工程2012，Vol.20Issue(3)：651-660,10.DOI:10.3788/OPE.20122003.0651
结合优化梯度滤波与投影不变的航拍视频配准
Aerial video registration combining optimal gradient filters and projective invariant
摘要
Abstract
As the Harris detector can produce false and unstable corners, and obtained matching points have different accuracies in aerial video registration, an aerial video registration algorithm using optimal gradient filters and projective invariant was proposed. Firstly, a Harris detector based on optimal gradient filters was presented to determine the location of corners, and the locally most stable points were selected to be matching points. Then, the Delaunay triangulation was used to perform the initial matching. Finally, the most "useful" matching points that best satisfied the cross-ratio invariant were presented to estimate the geometry transformation and finish the image registration . Experiment results show that the proposed method by the optimal gradient filters and cross-ratio invariant can realize the registration between the frames, and the average geometric fidelity error is 0. 869 for 8 sets of the unmanned video sequences with a resolution of 320 pixel × 240 pixel. The method can capture moving objects effectively.关键词
航拍视频/图像配准/优化梯度滤波/Delaunay三角网/投影不变性Key words
aerial video/ image registration/ optimal gradient filter/ Delaunay triangulation/ projective invariant分类
信息技术与安全科学引用本文复制引用
易盟,郭宝龙,严春满..结合优化梯度滤波与投影不变的航拍视频配准[J].光学精密工程,2012,20(3):651-660,10.基金项目
国家自然科学基金资助项目(No.60802077) （No.60802077）
国家杰出青年科学基金资助项目(No.61003196) （No.61003196）
