Crime Scene Shoeprint Classification Using Residual Network with Atrous Convolution

碩士 === 國立成功大學 === 資訊工程學系 === 107 === Shoeprints have always been important evidences at crime scenes, especially at burglary or theft. In order to help the police automatically find the similar shoeprint in a large amount of shoeprint data and find the correlation between the cases, this paper mainl...

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Bibliographic Details
Main Authors: Yen-AnShih, 施彥安
Other Authors: Shu-Mei Guo
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/kttgp7