The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Voi. XXXVII. Part B3b. Beijing 2008 
734 
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.