电子科技2026，Vol.39Issue(10)：24-33,10.DOI:10.16180/j.cnki.issn1007-7820.2026.10.003
基于SAM分割模型的多视图立体匹配算法
Multi View Stereo Matching Algorithm Based on SAM Segmentation Model
摘要
Abstract
To improve the integrity of multi-view 3D reconstruction algorithms in complex situations such as weak texture regions and photometric variations,a planar prior assisted multi-view stereo matching algorithm based on the SAM(Segment Anything Model)segmentation model is proposed.The input multi-view image is segmented,the distribution law of feature points in the segmented area is analyzed,and the weak texture area is extracted to gen-erate the prior image.The initial depth map is obtained by combining spatial propagation with random propagation.After filtering,the prior depth map is obtained based on the prior map.The initial depth map is fused with the prior depth map,and the final depth map is generated using the multi-view geometric consistency constraint.Experi-ments are conducted on the ETH3D and Tanks and Temples datasets.The results show that compared with the OpenMVS(Multi-View Stereo reconstruction library)algorithm,the F1 scores of the proposed algorithm under er-rors of 5 cm and 10 cm have increased by 5.26%and 3.32%respectively,the completeness has increased by 7.15%and 5.29%respectively,and the accuracy has increased by 2.58%and 0.99%respectively.The proposed algorithm has certain advantages for 3D reconstruction with high integrity requirements and a large number of large-scale scene planes.关键词
SAM分割模型/平面先验/多视图立体匹配/三维重建/图像分割/几何一致性/先验深度图Key words
SAM segmentation model/plane prior/multi-view stereo matching/3D reconstruction/image segmentation/geometric consistency/prior depth map分类
信息技术与安全科学引用本文复制引用
汪家通,林勇,吴添民..基于SAM分割模型的多视图立体匹配算法[J].电子科技,2026,39(10):24-33,10.基金项目
国家自然科学基金(81801797) National Natural Science Foundation of China(81801797) （81801797）
