The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Voi. XXXVII. Part B3b. Beijing 2008
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estimated. Furthermore, the 3D curve model can be
achieved by generalized point photogrammetry effec
tively. The precision and reliability of the estimated 3D
curve feature are determined by covariance matrix. This ap
proach is not restricted to building curve edge extraction.
Other similar curve features, especially in close-range pho
togrammetry, also can be extracted and reconstructed. Fur
ther studies will make use of more extensive constrained
conditions, and improve automatization of processing.
REFERENCES
Amini, A., Weymouth, T., and Jain, R., 1990. Using Dynamic
Programming for Solving Variational Problems in Vision. IEEE
Trans. Pattern Analysis and Machine Intelligence.
Chenyang Xu, Prince Jerry L., 1998. Snakes, shapes, and
gradient vector flow. IEEE Transactions on Image Processing ,
7 (3),pp.359 -369.
Grun A, Haihong Li, 1997. Semiautomatic linear feature
extraction by dynamic programming and LSB-Snakes.
Photogrammetric Engineering & Remote Sensing, 63(8),pp.
985-995.
Hongwei Zhang, 2004. Automatic registration between remote
sensing image and vector map (PhD Dissertation), pp. 40-43.
Kass, M., Witkin, A., and Terzopoulos, D., 1988. Snakes:
Active Contour Models., Int’l J. Computer Vision, vol. 1, pp.
321-331.
Williams, D.J., Shah, M., 1990. A fast algorithm for active
contours. ThirdInt’l Conf. Computer Vision, pp. 592-595.
Zhiqiang Hou, Chongzhao Han, 2005. Force field analysis
snake: an improved parametric active contour model. Pattern
Recognition Letters, 26(5), pp. 513-526.
Zuxun Zhang, Jianqing Zhang, 1996. Digital Photogrammetry.
Publishing House of Wuhan Surveying and Mapping University,
Wuhan, pp. 159-169.
Zuxun Zhang, Jianqing Zhang, 2005 , Generalized point
photogrammetry and its application. Geomatics and
Information Science of Wuhan University, 30(1), pp. 1-4.
ACKNOWLEDGEMENTS
This work is supported by the National Natural Science
Foundation of China (NSFC) with Project No. 40671157 and
National Hi-tech Research and Development Program (863
Program) of China with Project No. 2006AA12Z136.
