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2D image database indexing: a coefficient-based approach

NCJ Number
305656
Author(s)
Xiaoqian Jiang; Wanhong Xu; Yiheng Li; Latanya Sweeney ; Ralph Gross ; Daniel Yurovsky
Date Published
2007
Length
4 pages
Annotation

The problem investigated in this paper is the quick identification of free form 2D objects using a coefficient-based indexing technique.

Abstract

The authors demonstrate that combining implicit polynomial shape descriptors with calibration techniques has the potential to quickly identify images of similar shapes. As a pilot experiment, this approach is evaluated against a small database consisting of 15 images, with three different images from five categories. The index system achieves an overall top-3 matching accuracy of 88.9% compared to 91.1% of the traditional brutal force method on the same database with a computational cutoff of 67.7%. (Publisher abstract provided)