Please use this identifier to cite or link to this item:
|Title:||The effectiveness of detector combinations|
|Source:||Li, Z., Gong, W., Nee, A.Y.C., Ong, S.K. (2009-04-27). The effectiveness of detector combinations. Optics Express 17 (9) : 7407-7418. ScholarBank@NUS Repository. https://doi.org/10.1364/OE.17.007407|
|Abstract:||In this paper, the performance improvement benefiting from the combination of local feature detectors for image matching and registration is evaluated. Possible combinations of five types of representative interest point detectors and region detectors are integrated into the testing framework. The performance is compared using the number of correspondences and the repeatability rate, as well as an original evaluation criterion named the Reconstruction Similarity (RS), which reflects not only the number of matches, but also the degree of matching error. It is observed that the combination of DoG extremum and MSCR outperforms any single detectors and other detector combinations in most cases. Furthermore, MDSS, a hybrid algorithm for accurate image matching, is proposed. Compared with standard SIFT and GLOH, its average RS rate exceeds more than 3.56%, and takes up even less computational time. © 2009 Optical Society of America.|
|Source Title:||Optics Express|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 17, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.