Automatic Alignment of Images with Small Overlaps,Sparse Features and Repeated Deceptive Objects

摘要：

This paper presents an automatic and robust technique for creating seamless mosaics, relying only on a set of input multiple-view images with small overlaps, sparse features and repeated deceptive objects. We first extract keypoints and match them using the SIFT algorithm, which can generate large sets of corresponding keypoints from such images. This establishes a robust basis for a second-stage transform estimation using genetic algorithms and the image fusion algorithm. An adaptive genetic algorithm can escape from local extrema and can potentially realize the global optimum for estimating the projective transform parameters accurately. Finally, the aligned set of registered images is processed by an image fusion technique to produce effectively seamless composite images.

关键词： SIFT projective transform genetic algorithms image registration image fusion

作者: Ran Song John Szymanski

作者单位: Department of Electronics, The University of York, York, YO10 5DD, UK

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）