Rotation-invariant Histogram of Oriented Gradients for Target Description
CHEN Derong① WANG Wenbin① LIU Bingtai② JIANG Wei② YU Da② GONG Jiulu①
①(National Laboratory for Mechatronic and Control, Beijing Institute of Technology, Beijing 100081, China) ②(Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China)
A rotation-invariant feature descripts method called Rotation Invariant Histogram of Oriented Gradients (RI-HOG) is proposed for automatic target recognition. RI-HOG calculates gradient of image first, then the image window is divided into a set of un-overlapped annular regions, called sells, and the Histogram of Gradient (HoG) is used to calculate a feature vector for each cells. After that the HoG of each circle is accumulated to get the main angle of the target area, and then it is rotated due to the main angle to make a normalization of the main angle. At last, the HoG of each circle after rotating is linked to generate the rotation-invariant target feature vector. Experiment results show that target detection method using RI-HOG can find the target under arbitrary rotations. RI-HOG is a rotation-invariant target feature descriptor.
谌德荣,王文斌,刘丙太,姜威,俞达,宫久路. 旋转不变梯度直方图目标描述方法[J]. 电子与信息学报, 2016, 38(1): 23-28.
CHEN Derong, WANG Wenbin, LIU Bingtai, JIANG Wei, YU Da, GONG Jiulu. Rotation-invariant Histogram of Oriented Gradients for Target Description. JEIT, 2016, 38(1): 23-28.
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