TY - GEN
T1 - Building recognition with adaptive interest point selection
AU - Hascoet, Nicolas
AU - Zaharia, Titus
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/3/29
Y1 - 2017/3/29
N2 - In this paper, we propose an improvement of image retrieval for building images using the Bag of Words (BoW) model. The principle consists of pre-processing the interest points detected on the images in order to classify them into two classes, corresponding to building and no-building key points. In this way, the data involved for comparisons is reduced to only the relevant one and only the features describing the buildings are taken into account. The experimental results, carried out on the Paris6k data set shows significant improvement in terms of retrieval performances.
AB - In this paper, we propose an improvement of image retrieval for building images using the Bag of Words (BoW) model. The principle consists of pre-processing the interest points detected on the images in order to classify them into two classes, corresponding to building and no-building key points. In this way, the data involved for comparisons is reduced to only the relevant one and only the features describing the buildings are taken into account. The experimental results, carried out on the Paris6k data set shows significant improvement in terms of retrieval performances.
U2 - 10.1109/ICCE.2017.7889218
DO - 10.1109/ICCE.2017.7889218
M3 - Conference contribution
AN - SCOPUS:85018250865
T3 - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017
SP - 29
EP - 32
BT - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017
A2 - Pescador, Fernando
A2 - Lee, Jong-Hyouk
A2 - Sanchez, Daniel Diaz
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017
Y2 - 8 January 2017 through 10 January 2017
ER -