Fusing feature consistency across views for multi-view stereo

Fusing feature consistency across views for multi-view stereo

Abstract Dense feature matching is of significant importance in the learning-based multi-view stereo (MVS) pipeline. Feature consistency across views is a key factor affecting feature matching and plays a crucial role in the reconstruction of objects by the learning-based MVS method. This factor has...

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Bibliographic Details
Main Authors: Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Complex & Intelligent Systems
Subjects:
Deep learning
Multi-view stereo
Depth map
Feature consistency
Online Access:https://doi.org/10.1007/s40747-025-01930-9
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https://doi.org/10.1007/s40747-025-01930-9

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