Wang, J and Zha, H and Cipolla, R (2006) Efficient topological localization using orientation adjacency coherence histograms. Proceedings - International Conference on Pattern Recognition, 2. pp. 271-274. ISSN 1051-4651Full text not available from this repository.
This paper describes an efficient vision-based global topological localization approach that uses a coarse-to-fine strategy. Orientation Adjacency Coherence Histogram (OACH), a novel image feature, is proposed to improve the coarse localization. The coarse localization results are taken as inputs for the fine localization which is carried out by matching Harris-Laplace interest points characterized by the SIFT descriptor. Computation of OACHs and interest points is efficient due to the fact that these features are computed in an integrated process. We have implemented and tested the localization system in real environments. The experimental results demonstrate that our approach is efficient and reliable in both indoor and outdoor environments. © 2006 IEEE.
|Divisions:||Div F > Machine Intelligence|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:59|
|Last Modified:||20 Feb 2017 05:49|