Fast matching method of bullet rifling traces based on sharedconnection triplet convolutional neural network

Fast matching method of bullet rifling traces based on sharedconnection triplet convolutional neural network

Aiming at the problems of low precision and complicated operation of traditional bullet trace detection which generally uses laser to detect rifling traces to extract the signal of the rifling traces,new extraction and handling method was provided.By adopting multi-scale registration,elastic shape m...

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Autores principales: Nan PAN, Dilin PAN, Shibo PAN, Haishi LIU, Xuemei JIANG, Yi LIU
Formato: article
Lenguaje:ZH
Publicado: Hebei University of Science and Technology 2021
Materias:
test and measurement instrument; bullet trace; multi-scale registration; elastic shape metric; triplet loss function; convolution neural network
Technology
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Acceso en línea:https://doaj.org/article/be312a90d202490e9b2528d9d0d4f41f
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