Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction

21 February 2020

Papers citing "Leveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction"

6 / 6 papers shown

Title
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement Zehao Yu Shenghua Gao 3DV 86 218 0 29 Mar 2020
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features Mihai Dusmanu Ignacio Rocco Tomas Pajdla Marc Pollefeys Josef Sivic Akihiko Torii Torsten Sattler 24 679 0 09 May 2019
Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference Yao Yao Zixin Luo Shiwei Li Tianwei Shen Tian Fang Long Quan 3DV 55 548 0 27 Feb 2019
Hierarchical Motion Consistency Constraint for Efficient Geometrical Verification in UAV Image Matching San Jiang Wanshou Jiang 8 16 0 12 Jan 2018
Working hard to know your neighbor's margins: Local descriptor learning loss A. Mishchuk Dmytro Mishkin Filip Radenovic Jirí Matas 51 689 0 30 May 2017
Faster and better: a machine learning approach to corner detection E. Rosten R. Porter Tom Drummond 43 1,913 0 14 Oct 2008