An Evaluation of Feature Matchers for Fundamental Matrix Estimation

An Evaluation of Feature Matchers for Fundamental Matrix Estimation

26 August 2019

Le Zhang

Ming-Ming Cheng

Papers citing "An Evaluation of Feature Matchers for Fundamental Matrix Estimation"

11 / 11 papers shown

Title
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network Zizhuo Li Jiayi Ma 34 2 0 04 Jul 2023
Image Matching by Bare Homography F. Bellavia 3DV 43 7 0 15 May 2023
Adaptive Reordering Sampler with Neurally Guided MAGSAC Tong Wei Jirí Matas Dániel Baráth 28 4 0 28 Nov 2021
Learning to Match Features with Seeded Graph Matching Network Hongkai Chen Zixin Luo Jiahui Zhang Lei Zhou Xuyang Bai Zeyu Hu Chiew-Lan Tai Long Quan 17 111 0 19 Aug 2021
SIFT Matching by Context Exposed F. Bellavia 36 35 0 17 Jun 2021
DF-VO: What Should Be Learnt for Visual Odometry? Huangying Zhan C. Weerasekera Jiawang Bian Ravi Garg Ian Reid 23 34 0 01 Mar 2021
Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates Xun Yuan Ke Hu Song Chen 3DPC 18 3 0 04 Nov 2020
Learning to Guide Local Feature Matches François Darmon Mathieu Aubry P. Monasse 3DV 29 11 0 21 Oct 2020
Making Affine Correspondences Work in Camera Geometry Computation Dániel Baráth Michal Polic W. Förstner Torsten Sattler Tomas Pajdla Zuzana Kukelova 28 22 0 20 Jul 2020
Auto-Rectify Network for Unsupervised Indoor Depth Estimation Jiawang Bian Huangying Zhan Naiyan Wang Tat-Jun Chin Chunhua Shen Ian Reid SSL MDE 29 57 0 04 Jun 2020
ASLFeat: Learning Local Features of Accurate Shape and Localization Zixin Luo Lei Zhou Xuyang Bai Hongkai Chen Jiahui Zhang Yao Yao Shiwei Li Tian Fang Long Quan 26 287 0 23 Mar 2020