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

DOI

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.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 249
EP  - 253
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.135
DO  - 10.2991/mecae-18.2018.135
ID  - Wang2018/03
ER  -