Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 161-164.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Single Image Depth Estimation Algorithm Based on SFS and Binocular Model

ZHAO Zi-yang, JIANG Mu-rong, HUANG Ya-qun, HAO Jian-yu, ZENG Ke   

  1. School of Information Science and Engineering,Yunnan University,Kunming 650500,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: 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.

Key words: Binocular vision, Image depth, SFS, Single-picture

CLC Number: 

  • TP391
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