计算机应用与软件Issue(12)：262-264,310,4.DOI:10.3969/j.issn.1000-386x.2014.12.064
无序图像自动匹配与识别
AUTOMATIC UNORDERED IMAGES MATCHING AND RECOGNITION
摘要
Abstract
We design an automatic matching and recognition system for multiple unordered images, it is able to automatically match and recognise multiple unordered images inputted by users, and automatically stitch the images with overlapping portions.First, the system detects MOPS feature on every inputting image, and completes the fast matching between different image features through nearest neighbour search of k-d tree.The next, based on corresponding relationship between image features, it uses RANSAC algorithm to build the matching model between any two images, and verifies the robustness with probabilistic algorithm.The automatic recognition on the multiple unordered images can be achieved by constructing the structure of undirected connected graph corresponding to image matching relationship.Finally, the recursive algorithm is used to do depth-first traversal across the undirected connected graph, and the multi-band fusion algorithm is employed to eliminate stitching seam,as well as to compose corresponding panoramas image.Experimental results show that the system can automatically match and recognise the multiple unordered images, the feasibility and effectiveness of the algorithm is also verified.关键词
特征检测/图像匹配/图像识别/图像拼接/图像融合Key words
Feature detection/Image matching/Image recognition/Image stitching/Image fusion分类
信息技术与安全科学引用本文复制引用
赵毅力,夏炎..无序图像自动匹配与识别[J].计算机应用与软件,2014,(12):262-264,310,4.基金项目
云南省教育厅研究项目 （）
