Chinese Optics Letters, 2007, 5 (9): 549, Published Online: Sep. 11, 2007
Image recognition of laser radar using linear SVM correlation filter
目标识别 相关滤波器 线性SVM相关滤波器 激光雷达 100.5760 Rotation-invariant pattern recognition 070.6110 Spatial filtering 280.3640 Lidar
Abstract
Through deducing the relationship between support vector machine (SVM) and correlation principle, the optimal hyperplane is proved as a correlation filter when the kernel function is the linear kernel. So a new correlation filter, named linear SVM correlation filter (LSCF), is proposed. The filter has not only shift-invariance, but also SVM properties. The real images of laser radar are used as experiment data, and LSCF is used to solve the in-plane rotation invariance. The results show that the filter can recognize the different rotated objects, and the correlation output is stable. The filter is insensitive to the noise and gray change, and has good discrimination ability. In the same design way, LSCF is also suitable to solve other problems of correlation distortion.
Jianfeng Sun, Qi Li, Wei Lu, Qi Wang. Image recognition of laser radar using linear SVM correlation filter[J]. Chinese Optics Letters, 2007, 5(9): 549.