A Multitask Network for Multiview Stereo Reconstruction: When Semantic Consistency-Based Clustering Meets Depth Estimation Optimization
Author:
Affiliation:
1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
2. Institute of Big Data and Artificial Intelligence, Southwest Forestry University, Kunming, China
Funder
Major Scientific and Technological Projects of Yunnan Province
National Natural Science Foundation of China
Special Fund of Hubei Luojia Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10453281.pdf?arnumber=10453281
Reference75 articles.
1. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
2. Dense Stereo Matching Based on Multiobjective Fitness Function—A Genetic Algorithm Optimization Approach for Stereo Correspondence
3. Advances and Challenges of UAV SFM MVS Photogrammetry and Remote Sensing: Short Review
4. MVSNet: Depth Inference for Unstructured Multi-view Stereo
5. Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
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