计算机工程与应用2018，Vol.54Issue(13)：175-180,6.DOI:10.3778/j.issn.1002-8331.1702-0301
LYTRO相机光场图像深度估计算法及重建的研究
Research on algorithm of image depth estimation and reconstruction based on LYTRO camera
摘要
Abstract
Light-field cameras have now become available in both consumer and industrial applications. It is an important research subject to reconstruct the object by using the light field camera. In the course of practical research, the spatial information of the Lytro camera and the angle information are reused in the same sensor, which leads to the low resolution of the image, and the reconstruction effect is not ideal. In order to solve this problem, this paper presents a method of sub-pixel image depth estimation, performing the sub-pixel shifts based on multi-label of sub-aperture images in the frequency domain, building the matching cost volume reference to center view image. Then the use of the guide filter suppresses noise while keeping the edge of the image well, and matching cost behavior of multi label is optimized, the accurate depth estimation results are obtained. Finally, the surface rendering and texture mapping of the target depth map are processed, and finer results are obtained. The experimental results show that the proposed algorithm can solve the problem of fuzzy reconstruction in the reconstruction of complex objects with good performance.关键词
亚像素精度/多标签/图像匹配/图像分割/深度估计/三维重建Key words
sub-pixel precision/multi-label/image matching/graph cut/depth map estimation/3D reconstruction分类
信息技术与安全科学引用本文复制引用
孙福盛,韩燮,丁江华,刘涛..LYTRO相机光场图像深度估计算法及重建的研究[J].计算机工程与应用,2018,54(13):175-180,6.基金项目
国家自然科学基金(No.61602426,No.61672473). （No.61602426,No.61672473）
