Using cross-ratios to model curve data for aircraft recognition

Authors:
Shen-Chi Tien;Tsorng-Lin Chia;Yibin Lu
Affiliations:
Department of Electrical Engineering, Chung Cheng Institute of Technology, National Defense University, Tahsi, Taoyuan 335, Taiwan, ROC;Department of Computer and Communication Engineering, Ming Chuan University, 5 Teh-Ming Rd., Gwei Shan District, Taoyuan 333, Taiwan, ROC;Department of Electrical Engineering, Chung Cheng Institute of Technology, National Defense University, Tahsi, Taoyuan 335, Taiwan, ROC
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

This study proposes a novel method that utilizes the projective invariance of NURBS (nonuniform rational B-splines) and cross-ratios to recognize aircraft in images. An aircraft contour extracted from an image can be fitted by a NURBS curve in approximation, and a skew-symmetry detection method is employed to determine the start point of the contour for the fitting curve. The control points on the fitting curve are then utilized to calculate a set of cross-ratios to represent the aircraft contour, and a small database is established for aircraft recognition. Moreover, all real crossratios are converted to integral cross-ratios to increase the error tolerance and matching facilitation. The experimental results demonstrate that the proposed method is robust and effective in aircraft recognition.