✍ Scribed by Kengo Terasawa; Takeshi Nagasaki; Toshio Kawashima
No coin nor oath required. For personal study only.
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
📜 SIMILAR VOLUMES
Evaluation of chemical fate in the environment has been suggested to be best accomplished using a five-stage process in which a sequence of increasing site-specific multimedia mass balance models is applied. This approach is illustrated for chlorobenzene and linear alkylbenzene sulfonates (LAS). The