Harris Corner and SIFT Feature of Vehicle and Type Recognition
Harris Corner and SIFT Feature of Vehicle and Type Recognition
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发表时间：
2012
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通讯作者：
Jiang Peng
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作者：
Jiang Peng
针对目前车辆识别中准确性和实时性不能同时满足要求的问题，提出了一种先利用Harris角点进行车辆分类，再利用SIFT特征进行车辆详细分类的复合图像匹配模型和识别方法，与只利用SIFT特征进行车辆分类的方法相比，该方法在保证精度基本保持不变的情况下，处理时间缩短了2/3，实时性大大提高。
Considering to the important factors of accuracy and real-time performance can not meet the requirement simultaneously in current vehicle recognition,a compound image matching model and a recognition method were developed,namely classifying vehicles firstly by utilizing Harris corner,then classifying vehicles detailedly by using SIFT feature.Compared with the one used SIFT feature only,the method shortens the time of disposal by 2/3 under guaranteeing the accuracy to be kept essentially constant,real-time performance was improved greatly.