Title :
Cross-Weighted Centroid with Application to the Extraction of Affine Invariants
Author :
Zhao, Xiangjun ; Yang, Jianwei ; Lan, Rushi ; Chen, Wensheng
Author_Institution :
Coll. of Math & Phys., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
In this paper, cross-weighted centroid (CWC) is constructed to extract affine invariant features. Every point in an image is assigned with a cross-weight based on the distribution of the image. CWC, derived from these weighted points, is affine invariance. Based on the original centroid and CWC of the image, a series of centroids of some affine regions can be obtained by iterating affine region cutting, i.e., ARC. Several affine invariant triangles are constructed. Consequently, affine invariant features can be derived by the area of these triangles. Experiment results show the efficiency of the proposed method.
Keywords :
feature extraction; iterative methods; affine invariant feature extraction; affine region cutting iteration; cross-weighted centroid; Cameras; Data mining; Feature extraction; Geometry; Information science; Shape; Transforms; affine geometry; affine invariant feature; affine region cutting; crossweighted centroid;
Conference_Titel :
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location :
Phuket Island
Print_ISBN :
978-1-61284-688-0
DOI :
10.1109/ICIC.2011.46
