A Fast Algorithm for Extracting Feature Point in 2-Dimensional Image
二维图象特征点快速提取算法

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.