计算机工程与应用2017，Vol.53Issue(1)：183-189,7.DOI:10.3778/j.issn.1002-8331.1504-0021
基于ORB算法和OECF模型的快速图像拼接研究
Fast image stitching algorithm based on ORB algorithm and OECF model
摘要
Abstract
In order to expand the viewing angle for robot visual navigation, this paper presents a fast image stitching algorithm based on ORB algorithm and OECF model. Firstly, feature points are extracted by SIFT algorithm after images pre-processing. Secondly, the binary descriptors of the feature points are obtained by ORB algorithm to achieve images matches. The project transformation model matrix between two matching images is calculated. Finally, to solve the color inconsistency problem of images stitching, the Opto-Electronic Conversion Function of the camera is estimated to conduct color adjustment. Experimental results show that the proposed algorithm is effective for image stitching, moreover the stitching quality and stitching speed are much better than other image stitching algorithms.关键词
ORB算法/OECF模型/图像拼接/色彩平衡Key words
ORB(Oriented Brief) algorithm/OECF model/image stitching/color adjustment分类
信息技术与安全科学引用本文复制引用
张莹,闫璠,高赢,涂勇涛..基于ORB算法和OECF模型的快速图像拼接研究[J].计算机工程与应用,2017,53(1):183-189,7.基金项目
国家自然科学基金（No.61175075）；湖南省教育厅重点项目（No.14A137）。 （）
