Research on the Picture Collected By Microminiature Aircraft to Construct Digital Elevation Model
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It is the primary step of the “digital city” that construct tridimensional digital map[1]. We consider that construct it by computer vision base on the characteristic of the image microminiature aircraft collected[2]. But the quantity of the pairs of the characteristic point cannot meet the request to construct Digital Elevation Model. This paper provide a latest correlate matching method base on Epipolar Constrain after introduce the characteristic point extract and matching. the paper adopt a precise Fundamental Matrix estimate algorithm to calculated epipolar equation and increase the matching point’s quantity effectively. It has met the real time’s request by experimental verification.
[1] P. Besl. Geometric modeling and computer vision , 1988, Proc. IEEE.
[2] Liu Lin. How to make the development strategies for digital city , 2004 .
[3] Zhou,et al. Automated image matching with coded points in stereovision measurement , 2005 .
[4] Yun-Jie Pang,et al. Robust estimation of the fundamental matrix based on an error model , 2005, 2005 International Conference on Machine Learning and Cybernetics.