Error evaluation of scale‐invariant local descriptor and its application to image indexing
Kengo Terasawa, Takeshi Nagasaki, Toshio Kawashima · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 2006
Abstract One technique for image indexing is the method of extracting interest points from an image and finding point‐to‐point matches with descriptor vectors which characterize the vicinity of those interest points. In this paper, in order to improve the accuracy of these point‐to‐point matches, the authors introduce a new distance measure to replace the Mahalanobis distance used before now as the measure for the distance between descriptor vectors. The number of mismatches which tend to result from establishing matches using the Mahalanobis distance can be reduced by finding the observational error distribution of the descriptors using synthetic images including errors and revising the distance measure based thereon. Also, among the attributes of interest points, the relatively high reproducibility of the characteristic scale is of note. A technique is proposed which makes active use of characteristic scale as a descriptor, as well as Local Jet which was used before now, and the effectiveness thereof for indexing is demonstrated. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(2): 31–39, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecjc.20310