计算机应用研究2017，Vol.34Issue(9)：2849-2853,5.DOI:10.3969/j.issn.1001-3695.2017.09.063
基于马尔可夫场的图像背景拼贴
Photo background stitching based on Markov random field
摘要
Abstract
Concerning the limited field view of most consumer cameras that leads to the difficulty of capturing large scene,this paper proposed a new method to solve this problem,which was able to stitch image's background effectively.Input was a limited view image.First,it gathered the scattered photos from the Internet with each photograph changed into same color tone using color convert method.Then,these collected photos were cut into super-pixels and then warped to the same view of the input image on the reconstructed 3D model basis.Finally,it built a novel Markov random field based model to composite images.It solved the energy function with Markov random field by graph cuts with label costs.The experimental results of this method is more close to the real-world landmarks,and provides convincing visual context which is real spatial and not available in the user images than existing works.关键词
超像素/三维重建/马尔可夫随机场/图割Key words
super-pixel/3D reconstruction/Markov random field/graph cut分类
信息技术与安全科学引用本文复制引用
王诗尧,胡涛..基于马尔可夫场的图像背景拼贴[J].计算机应用研究,2017,34(9):2849-2853,5.基金项目
国家自然科学基金资助项目(61562025) （61562025）
