Depth Map Compression Using Color-Driven Isotropic Segmentation and Regularised Reconstruction-Reference-Cited by-同舟云学术

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Depth Map Compression Using Color-Driven Isotropic Segmentation and Regularised Reconstruction

Published:2015-04 Issue: Volume: Page:
ISSN:
Container-title:2015 Data Compression Conference
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Author:

Georgiev Mihail,Belyaev Evgeny,Gotchev Atanas

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7147631/7149089/07149272.pdf?arnumber=7149272

Cited by 5 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. Object Extraction Method for Mobile Robots using Fast Growing Neural Gas;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04

2. End-To-End Depth Map Compression Framework Via Rgb-To-Depth Structure Priors Learning;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

3. A Plane Extraction Method for Embedded Computers in Mobile Robots;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05

4. A General Framework for Depth Compression and Multi-Sensor Fusion in Asymmetric View-Plus-Depth 3D Representation;IEEE Access;2020

5. Improved Depth Compression by Depth Downsampling Guided by Color Super-Pixel Refinement Segmentation;2018 Data Compression Conference;2018-03

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