Windowed Intensity Difference Histogram Descriptor and Its Application to Improving SURF Algorithm
Lian Lin① Li Guo-hui① Tian Hao① Xu Shu-kui① Tu Dan① Wang Hai-tao②
①(School of Information System and Management, National University of Defense Technology, Changsha 410073, China) ②(Technology Office, Chinese PLA 63889 Army, Luoyang 471003, China)
Abstract：How to construct compact and powerful feature descriptors is an important research subject in the fields of machine vision and pattern recognition. To tackle the issue that the Haar descriptor of Speeded Up Robust Features (SURF) algorithm can not make full use of the information around the neighborhood of the feature points, this paper proposes a novel local invariant descriptor, called Windowed Intensity Difference Histogram (WIDH). Based on the small core region centered at a feature point, WIDH exploits the intensity difference information within the operating region by sliding the window template, and constructs a simple but discriminative description vector with high computational performance. The experimental results show that the improved SURF with WIDH can obtain comparable or better discriminative power with lower dimensionality, contrast to its original version embedded with Haar wavelets descriptor. In particular, WIDH outperforms its counterpart obviously in the presence of image blurring and noise disturbance, and the recalls of WIDH are upgraded as much as 35% and 50% respectively, with respect to the same false rates.
廉蔺, 李国辉, 田昊, 徐树奎, 涂丹, 王海涛. 加窗灰度差直方图描述子及其对SURF算法的改进[J]. 电子与信息学报, 2011, 33(5): 1042-1048.
Lian Lin, Li Guo-Hui, Tian Hao, Xu Shu-Kui, Tu Dan, Wang Hai-Tao. Windowed Intensity Difference Histogram Descriptor and Its Application to Improving SURF Algorithm. , 2011, 33(5): 1042-1048.
2011, Vol. 33 
