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�������պ����ѧѧ�� 2005, Vol. 31 Issue (08) :848-852    DOI:
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Improved least-squares scene matching algorithm
Xu Baochang, Chen Zhe, Zhao Long*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� In order to improve the matching speed and the robustness to initial positioning error and noise of the scene matching system, the scene matching model was set by analyzing the relationship of gray level between real-time image and referenced image. An improved least-squares scene matching algorithm was proposed. The generalized cost function in the algorithm was constructed by adding an auxiliary constraint term to the sum of the squared errors. The auxiliary constraint term involved the requirement for the smoothness of measurement input to improve the stability of the algorithm. The recursive equations of the algorithm were derived using Newton iterative algorithm without any simplification. By using the first order and second order derivative information of the generalized cost function, the algorithm had high convergence speed. Simulation results demonstrate the effectiveness of the algorithm.
Keywords�� scene matching   robustness   least-squares   generalized cost function     
Received 2004-03-08;
Fund:

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About author: �챦��(1974-),��,������Դ��,��ʿ��,xbcyl@163.com.
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�챦��, ����, ����.һ�ָĽ�����С���˾���ƥ���㷨[J]  �������պ����ѧѧ��, 2005,V31(08): 848-852
Xu Baochang, Chen Zhe, Zhao Long.Improved least-squares scene matching algorithm[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2005,V31(08): 848-852
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