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SimpleMap**: Real-time visual-inertial dense map** with deep multi-view stereo
Y ** method capable of performing
incremental 3D mesh reconstruction with high quality using only sequential monocular …
incremental 3D mesh reconstruction with high quality using only sequential monocular …
AdaptMVSNet: Efficient Multi-View Stereo with adaptive convolution and attention fusion
P Jiang, X Yang, Y Chen, W Song, Y Li - Computers & Graphics, 2023 - Elsevier
Abstract Multi-View Stereo (MVS) is a crucial technique for reconstructing the geometric
structure of a scene, given the known camera parameters. Previous deep learning-based …
structure of a scene, given the known camera parameters. Previous deep learning-based …
Mono‐MVS: textureless‐aware multi‐view stereo assisted by monocular prediction
Y Fu, M Zheng, P Chen, X Liu - The Photogrammetric Record, 2024 - Wiley Online Library
The learning‐based multi‐view stereo (MVS) methods have made remarkable progress in
recent years. However, these methods exhibit limited robustness when faced with occlusion …
recent years. However, these methods exhibit limited robustness when faced with occlusion …
Sparse Point Cloud Guided Digital Surface Model Generation for Aerial Images
Y ZHANG, S ZOU, X LIU - Geomatics and Information Science of …, 2023 - ch.whu.edu.cn
Objectives Digital surface model is of great significance in the fields of real-life 3D modeling,
smart city construction, natural resources management, geoscience research, and hydrology …
smart city construction, natural resources management, geoscience research, and hydrology …
A Survey of PatchMatch-Based Multi-View Stereo
Multi-View Stereo (MVS) is a fundamental problem in computer vision, graphics, and
machine learning communities, and is a crucial technique for image-based 3D …
machine learning communities, and is a crucial technique for image-based 3D …
[HTML][HTML] 稀疏点云引导的航空影像数字表面模型生成方法
张永军， 邹思远， 刘欣怡 - 武汉大学学报 (信息科学版), 2023 - ch.whu.edu.cn
密集匹配是生成数字表面模型的核心步骤, 但在纹理缺乏, 视差断裂和光照不一致等区域容易
匹配失败. 为了提高密集匹配结果的精度, 提出一种稀疏点云引导(sparse point cloud guidance …
匹配失败. 为了提高密集匹配结果的精度, 提出一种稀疏点云引导(sparse point cloud guidance …
[HTML][HTML] 基于深度学**的多视图立体重建方法综述
鄢化彪， 徐方奇， 黄绿娥， 刘词波… - Optics and Precision …, 2023 - opticsjournal.net
摘要多视图立体重建(Multi-view stereo Reconstruction, MVS Reconstruction)
的目标是根据一组已知摄像机参数的多视角图像来重建场景的三维模型, 是**年来三维重建的一 …
的目标是根据一组已知摄像机参数的多视角图像来重建场景的三维模型, 是**年来三维重建的一 …