@inproceedings{33d32c393d3844a7a4454a0f828cfd07,
title = "Multiple unordered wide-baseline image matching and grouping",
abstract = "This paper focuses on the multi-view feature matching problem from unordered image sets. Firstly, an efficient and effective high dimensional feature matching algorithm is proposed, so called ELSH (extended local sensitive hash), which can significantly improve matching accuracy at fast speed. Secondly, a novel unsupervised image grouping strategy is proposed to cluster the unordered images into content-related group, which does not normally require any other constraints. Extensive experimental results have shown that our method can obtain better performance than the classical algorithms in tackling multi-view matching problem.",
keywords = "Extended LSH, Image grouping, KNN (K nearest neighbor) search, Multi-view matching",
author = "Zhoucan He and Qing Wang and Heng Yang",
year = "2009",
doi = "10.1109/ICME.2009.5202590",
language = "英语",
isbn = "9781424442911",
series = "Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009",
publisher = "IEEE Computer Society",
pages = "690--693",
booktitle = "Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009",
note = "2009 IEEE International Conference on Multimedia and Expo, ICME 2009 ; Conference date: 28-06-2009 Through 03-07-2009",
}