Spatio-temporal filter for dense real-time Scene Flow estimation of dynamic environments using a moving RGB-D camera-Reference-Cited by-同舟云学术

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Spatio-temporal filter for dense real-time Scene Flow estimation of dynamic environments using a moving RGB-D camera

Published:2015-07 Issue: Volume:59 Page:33-40
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Bakkay Mohamed Chafik,Zagrouba Ezzeddine

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Kinect Depth Sensor Evaluation for Computer Vision Applications;Andersen,2012

2. Real-time scene flow using a depth sensor;Bakkay,2013

3. Multi-view scene flow estimation: a view centered variational approach;Basha;International Journal of Computer Vision,2013

4. Efficient spatio-temporal hole filling strategy for kinect depth maps;Camplani;Proc. the International Society for Optics and Photonics (SPIE),2012

5. Semi-automatic 2d-to-3d conversion using disparity propagation;Cao;IEEE Transactions on Broadcasting,2011

Cited by 3 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. Dynamic Object Detection Using Improved Vibe for RGB-D SLAM;2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2018-10

2. Real-Time Halfway Domain Reconstruction of Motion and Geometry;2016 Fourth International Conference on 3D Vision (3DV);2016-10

3. Dense 3D SLAM in Dynamic Scenes Using Kinect;Pattern Recognition and Image Analysis;2015

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