DocumentCode
595517
Title
Appearance-based object recognition using weighted longest increasing subsequence
Author
Kusuma, G.P. ; Szabo, Aron ; Li Yiqun ; Lee, John A.
Author_Institution
Comput. Vision & Image Understanding Dept., Inst. for Infocomm Res., Singapore, Singapore
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
3668
Lastpage
3671
Abstract
We proposed in this paper a novel weighted longest increasing subsequence to improve the performance of the appearance-based object recognition. The LIS is employed to find the true keypoint matches that have consistent geometric order in both query and gallery images. Then, the similarity between query and gallery images is measured by the sum of the weights of the true keypoints. The experimental results shown that our approach outperforms the SURF and SURF + RANSAC Homography approaches.
Keywords
object recognition; query processing; statistical analysis; LIS; SURF + RANSAC Homography approaches; appearance-based object recognition; consistent geometric order; gallery images; keypoint matches; query images; weighted longest increasing subsequence; Computer vision; Databases; Feature extraction; Lighting; Object recognition; Robustness; Weight measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460960
Link To Document