Vehicle brand model fine identification method and system based on depth learning

The invention discloses a vehicle brand model fine identification method and system based on depth learning. The vehicle brand model fine identification method based on depth learning includes the steps: acquiring an original vehicle image; performing spatial pyramid dividing on the original vehicle...

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Hauptverfasser: LUO DONGHUA, CHEN RUIXIANG, LYU SHUO, JIANG QIANYIN, LI XIYING, YUAN MINXIAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a vehicle brand model fine identification method and system based on depth learning. The vehicle brand model fine identification method based on depth learning includes the steps: acquiring an original vehicle image; performing spatial pyramid dividing on the original vehicle image to divide the original vehicle image into three layers and 21 image blocks, wherein the number of the image blocks in the three layers is respectively 1, 4 and 16; utilizing an improved convolution neural network to perform characteristic extraction on each divided image block to obtain the characteristic vector of each image block, wherein the improved convolution neural network includes a convolution layer, a maximum pooling layer, a configuration layer and an average pooling layer; according to the characteristic vector of each image block, utilizing the method of weight space pyramid to obtain the final expression vector of the vehicle image; and sending the final expression vector of the vehicle image t