Paper Info
Title
Multi-View Image Feature Correlation Guided Cost Aggregation For Multi-View Stereo
Abstract
In this paper, we propose a learning-based multi-view stereo network with the proposed feature correlation aggregation network (FCANet). We notice that the source views used to infer the depth of reference view are quite different, which are reflected in the images. Therefore, the contribution of source views should be different for building cost volume, which depends on the similarity between the...
Year
DOI
Venue
2021
10.1109/ICMEW53276.2021.9455978
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Keywords
DocType
ISSN
Measurement,Correlation,Conferences,Buildings,Image reconstruction
Conference
2330-7927
ISBN
Citations 
PageRank 
978-1-6654-4989-2
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Yawen Lai101.35
Ke Qiu201.69
Ronggang Wang313436.57