机译:一种两级车型识别方法,组合最有效的Gabor特征
School of Automation Nanjing University of Information Science & Technology Nanjing 210044 China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing 210044 China;
Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing 210044 China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing 210044 China;
Rensselaer Polytechnic Institute Troy NY 12180 USA;
School of Automation Nanjing University of Information Science & Technology Nanjing 210044 China;
Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Nanjing 210044 China;
Vehicle type recognition; improved Canny algorithm; Gabor filter; κ-nearest neighbor classification; grey relational analysis; kernel sparse representation; two-stage classification;
机译:通过两阶段分类将全局和局部特征相结合的车辆类型识别
机译:结合特征和旋转木马的车辆类型和识别
机译:基于Gabor的特征提取和特征空间变换融合方法的人脸单人脸识别问题
机译:基于自适应Gabor小波的人脸表情识别有效特征提取方法
机译:一种基于Gabor特征的目标识别的自适应采样算法。
机译:使用线性模式识别方法比较表征整个大脑解剖差异的各种MRI特征类型
机译:结合Gabor和小波特征改进道路车辆检测性能