三维立体重建中的主要难题之一就是如何有效选择兴趣点，虽在文献[2]-[5]中提出了各种算法，但这些方法计算量大，且不能有效抑制干扰噪声，对光照条件的要求也十分苛刻，基于此，提出了一种二维图象特征点快速提取方法，通过与文献[2],[4]中方法就特征点识别与提取结果的实验对比，证实了该算法具有抗干扰能力强，对外界光照条件适应性强及处简单，运行速度快等显著特点，通过对一具有已知三维坐标的标准件的三维重建，证实了该算法的有效性，采用该算法所提取的特征点具有较高的准确性。

One of the main difficult problems is how to choose interesting point efficiently in 3 dimensional stereo restoration. Although different algorithms are put forward in, these methods cannot restrain disturbance noise availably and are very rigorous on the illumination with large calculation. Based on these, a kind of method to fast extract feature point in 2 dimensional image is presented in this paper. It is proved that the algorithm mentioned in this paper has following remarkable advantages such as strong anti jamming capacity, powerful adaptability to outside illumination, simplicity and fast speed of computation, etc. after comparing the result of this algorithm with that of the algorithm in on extracting feature point by experiment. Moreover, it is testified that this kind of algorithm is valid after 3 dimensional restoration of standard piece with given 3 dimensional coordination. The accuracy of feature point extracted by the algorithm is high.