Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Application of Image Matching Algorithm Based on Lifted Structured in Large Scale Database of Furniture

Authors
Yong Wang, Wenwen Gao, Ying Wang
Corresponding Author
Yong Wang
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.135How to use a DOI?
Keywords
furniture image search; deep learning; convolution neural network;
Abstract
Based on the Lifted Structured Feature Embedding (LSFE) proposed by H.O. Song, it is extended to the two million-level furniture image database retrieval application, which proves that it is excellent content-based image matching capabilities on large scale database.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecae-18.2018.135How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yong Wang
AU  - Wenwen Gao
AU  - Ying Wang
PY  - 2018/03
DA  - 2018/03
TI  - Application of Image Matching Algorithm Based on Lifted Structured in Large Scale Database of Furniture
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.135
DO  - https://doi.org/10.2991/mecae-18.2018.135
ID  - Wang2018/03
ER  -