A Feature Detection Method Based on Harris Corner and Difference of Gaussian
Xin Huang · 2008
Aiming at the heavy computation burden and poor real-time performance of the existing scale -invariant feature detection methods,a incomplete pyramid frame in scale space is presented.Its influence on the performance of the method is analyzed in theory.Then,a quick feature detecting method is presented based on Harris corner and difference of Gaussian.It computes the Harris corners at each level in incomplete pyramid scale space of the image and the difference of Gaussian is used to select the feature points.The method not only can ensure high performance but also decrease the computation time.Its validity has been proved by the experiment.