节点文献
一种精确的图像拼接方法
A method for accurate image mosaic
【摘要】 全景图拼接是实现虚拟现实场景漫游的一种重要手段,本文利用SUSAN检测算子抽取图像的角点特征,然后用快速RANSAC算法配准图像,计算出图像之间的单应性矩阵,同时通过KLT跟踪,提高投影矩阵的精度。最后在图像融合中,采用像素值加权的方法。实验结果表明,文章提出的方法能有效提高配准精确性,并具有鲁棒性。
【Abstract】 Panoramic image mosaic is an important method of travelling in virtual reality environment.This paper uses SUSAN corner detector to extract the corner’s characteristic from the images,then register the images by the PERANSAC algorithm,and compute the homography matrix between the two images.And,the KLT trace is also used to refine the homography matrix.At last,Pixel weighted method is used to blend the overlapping area of image.The results shows that the accuracy of registration is improved greatly and the method is robust.
【关键词】 虚拟现实;
图像拼接;
SUSAN角点检测;
快速RANSAC;
【Key words】 virtual reality; image mosaic; SUSAN corner detection; PERANSAC;
【Key words】 virtual reality; image mosaic; SUSAN corner detection; PERANSAC;
- 【文献出处】 安徽建筑工业学院学报(自然科学版) ,Journal of Anhui Institute of Architecture & Industry(Natural Science) , 编辑部邮箱 ,2007年01期
- 【分类号】TP391.41
- 【被引频次】8
- 【下载频次】769