计算机工程Issue(11)：235-239,5.DOI:10.3969/j.issn.1000-3428.2013.11.053
基于光线的全局优化多视图三维重建方法
Global Optimized Multi-view 3D Reconstruction Method Based on Rays
摘要
Abstract
This paper presents a multi-view 3D reconstruction method based on rays. It generates the bounding volume for the object in the images using silhouettes, and discretizes space of the object into voxels. For each pixel in the image, a ray is generated from the center of the camera. To determine the voxels for the rays, Normalized Cross-correlation(NCC) value is used to measure the consistence between the rays and the voxels, where the patch normal is estimated to improve the confidence of the corresponding NCC value. A global optimization model based on factor graph is designed to extract the voxels belonging to the reconstructed object. In addition, an efficient belief propagation algorithm is proposed based on the characteristics of ray factor, which reduces the computational complexity from an exponential one to a linear one. Experimental results show that the proposed method is more robust than the previous reconstruction method based on Markov Random Field(MRF), and achieves better reconstruction result in terms of both accuracy and completeness.关键词
三维重建/因子图/可视壳/多视图立体匹配/归一化互陒关Key words
3D reconstruction/factor graph/visual hull/multi-view stereo matching/Normalized Cross Correlation(NCC)分类
信息技术与安全科学引用本文复制引用
陈坤,刘新国..基于光线的全局优化多视图三维重建方法[J].计算机工程,2013,(11):235-239,5.基金项目
国家自然科学基金资助项目(61379068)；中央高校基本科研业务费专项基金资助项目(2011QNA5029) （61379068）
