DNN Flow: DNN Feature Pyramid based Image Matching
In Proceedings British Machine Vision Conference 2014
http://dx.doi.org/10.5244/C.28.109
Abstract
We propose a hierarchical image matching algorithm based on DNN feature pyramid, named as DNN Flow. In DNN feature pyramid, the activations of different level response different information, such as semantic on top level and low-level visual appearance on bottom level. DNN Flow utilize this characteristic of DNN feature to achieve different matching goals on different levels. From the top matching level to bottom matching level, DNN flow match the regions with same semantic to the patches with same low-level visual appearance. Meanwhile, the estimation produced by upper level matching lead lower level matching to make more accurate matching. DNN Flow shows competitive evaluation result through various matching tasks on different dataset, which is appropriate to be applied many vision applications.
Session
Poster Session
Files
Extended Abstract (PDF, 1 page, 128K)Paper (PDF, 10 pages, 1.3M)
Bibtex File
Citation
Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao, and Yong Rui. DNN Flow: DNN Feature Pyramid based Image Matching. Proceedings of the British Machine Vision Conference. BMVA Press, September 2014.
BibTex
@inproceedings{BMVC.28.109
title = {DNN Flow: DNN Feature Pyramid based Image Matching},
author = {Yu, Wei and Yang, Kuiyuan and Bai, Yalong and Yao, Hongxun and Rui, Yong},
year = {2014},
booktitle = {Proceedings of the British Machine Vision Conference},
publisher = {BMVA Press},
editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}
doi = { http://dx.doi.org/10.5244/C.28.109 }
}