线性SVM相关滤波器的性能研究

研究一种新型相关模式识别技术——线性SVM相关滤波器的性能及其应用前景,构建一个两类物体识别模型,利用计算机合成线性SVM相关滤波器,分别考察其对抗物体平面内旋转、平面外旋转以及噪声干扰的能力,并与其它三种相关滤波器进行比较。实验结果表明,该滤波器具有最佳的抗平面内旋转能力、优秀的抗平面外旋转和抗噪声干扰能力,在真实环境下的平面内旋转图像识别和中小形变范围内三维物体识别领域具有良好的应用前景。

Research on Performance of Linear SVM Correlation Filter

A two-class classification model is established to evaluate the performance and application prospect of the novel linear SVM(Support Vector Machine) correlation filter.The SVM filters based on different training samples are synthesized by computer as well as other 3 correlation filters.The ability to resist in-plane rotation,out-of-plane rotation and noise of those filters are tested and compared.The experimental results indicates the SVM correlation filter exhibites the best ability to resist in-plane rota...