测试技术学报2018，Vol.32Issue(2)：131-134,4.DOI:10.3969/j.issn.1671-7449.2018.02.007
基于视差图像序列的深度估计算法研究
Research on Depth Estimation Algorithm Based on Parallax Image Sequence
摘要
Abstract
As one of the existing estimation algorithms,Kim algorithm does not need global optimiza-tion.It can still ensure smooth reconstruction in a small area of detail while keeping accurate contour of the target.The results are relatively good,but the time complexity is too high in the depth diffusion al-gorithms,not suitable for wide application.In order to solve this problem,the depth diffusion algorithm is improved.Firstly,according to the depth of edge images,the entire scene depth is covered,and the method of deep diffusion is transformed into a quick search within the edge depth,rather than a global search for the whole area.,significantly reduces the time complexity of the algorithm.In addition,ac-cording to the linear structure of epipolar-plane image,the depth diffusion is taken into consideration with multiple views along the slope,rather than j ust pixels in a single view,which makes the diffusion of non-edge smooth areas more accurate.The simulation results show that the algorithm we proposed in this paper is better than the Kim algorithm to some extent and can be widely used.关键词
多视角成像/极平面图像/深度估计算法/深度扩散算法/算法时间复杂度Key words
multi-view imaging/epipolar-plane image/depth estimation algorithm/deep diffusion algo-rithm/time complexity of algorithm分类
信息技术与安全科学引用本文复制引用
张敏,苏新彦,白桦..基于视差图像序列的深度估计算法研究[J].测试技术学报,2018,32(2):131-134,4.基金项目
国家自然科学基金资助项目(61171179) （61171179）
