结合SFS和双目模型的单幅图像深度估计算法  

Single Image Depth Estimation Algorithm Based on SFS and Binocular Model

作　　者：赵子阳 蒋慕蓉[1] 黄亚群[1] 郝健宇 曾科 ZHAO Zi-yang;JIANG Mu-rong;HUANG Ya-qun;HAO Jian-yu;ZENG Ke(School of Information Science and Engineering,Yunnan University,Kunming 650500,China)

机构地区：[1]云南大学信息学院

出　　处：《计算机科学》2019年第B06期161-164,共4页Computer Science

基　　金：国家自然科学基金项目(11161055)资助

摘　　要：从二维图像中获取图像深度信息是计算机视觉领域的热点问题。经典的双目视觉方法需要相机内部参数和同一场景的多张图像,视觉参数不足容易导致计算错误,而单幅图像只能依靠自身的几何信息得到图像深度。文中针对未知相机参数得到的单幅普通二维图像,结合SFS(从阴影恢复形状)方法,运用图像明暗的几何信息和双目视觉模型获取图像目标深度值,再利用目标轮廓信息对不同目标区域进行赋值,得到图像不同目标距离观察者的远近关系。实验结果表明,所提方法得到的图像深度能较为准确地反映出场景的真实信息,较符合实际观测结果。Obtaining depth information from 2D images is a hot topic in the field of computer vision.Classical binocular vision methods require camera parameters and multiple images of the same scene.Insufficient visual parameters can easily lead to errors in calculation,while a single image can only rely on its own geometric information to get the image depth.This paper used the geometric information of the image and the binocular vision model to get the depth value of the object in a single ordinary two-dimensional image with unknown camera parameters.The experimental results show that the image depth obtained by the proposed method can relatively accurately reflect the real information of the scene,which is consistent with the actual observation results.

关 键 词：从阴影恢复形状 双目视觉 单幅图片 图像深度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]