GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images-Reference-Cited by-同舟云学术

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GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Nascimento Erickson R.,Potje Guilherme,Martins Renato,Chamone Felipe,Campos Mario,Bajcsy Ruzena

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8972782/9008105/09010660.pdf?arnumber=9010660

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

3. Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images;2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI);2022-10-24

4. Learning geodesic-aware local features from RGB-D images;Computer Vision and Image Understanding;2022-06

5. Loop Closure Detection by Using Global and Local Features With Photometric and Viewpoint Invariance;IEEE Transactions on Image Processing;2021

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