High Quality Monocular Video Depth Estimation Based on Mask Guided Refinement  

作　　者：Huixiao Pan Qiang Zhao 

机构地区：[1]School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China

出　　处：《Journal of Beijing Institute of Technology》2025年第1期18-27,共10页北京理工大学学报(英文版)

摘　　要：Depth maps play a crucial role in various practical applications such as computer vision,augmented reality,and autonomous driving.How to obtain clear and accurate depth information in video depth estimation is a significant challenge faced in the field of computer vision.However,existing monocular video depth estimation models tend to produce blurred or inaccurate depth information in regions with object edges and low texture.To address this issue,we propose a monocular depth estimation model architecture guided by semantic segmentation masks,which introduces semantic information into the model to correct the ambiguous depth regions.We have evaluated the proposed method,and experimental results show that our method improves the accuracy of edge depth,demonstrating the effectiveness of our approach.

关 键 词：monocular video depth estimation depth refinement edge depth accuracy semantic segmentation 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]