Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images
Author:
Affiliation:
1. Universidade Federal de Minas Gerais
2. Université Bourgogne Franche-Comté
Funder
EMI
Google
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9991741/9991742/09991805.pdf?arnumber=9991805
Reference33 articles.
1. SURF: Speeded Up Robust Features
2. KVD: Scale invariant keypoints by combining visual and depth data
3. GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images
4. UKPGAN: Unsupervised keypoint ganeration;you;arXiv preprint arXiv 2011 11204,2020
5. KAZE features;alcantarilla;ECCV,2012
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1. Improving the matching of deformable objects by learning to detect keypoints;Pattern Recognition Letters;2023-11
2. Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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