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- W3120276027 abstract "Footage analysis procedures require manual examination which can be time consuming. As an alternative to the above procedure, we propose a system capable of automating footage analysis by fingerprinting all identified faces and classifying them into unique faces, regardless of the angle the face was found in the footage. This system also has the ability to expand the number of faces it can recognize during runtime opposed to detecting a fixed number of faces." @default.
- W3120276027 created "2021-01-18" @default.
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- W3120276027 date "2020-11-06" @default.
- W3120276027 modified "2023-09-27" @default.
- W3120276027 title "Speculo: Pattern Recognition with a Deep Convolutional Inverse Graphics Network for Face-Indexing" @default.
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- W3120276027 doi "https://doi.org/10.1109/inocon50539.2020.9298340" @default.
- W3120276027 hasPublicationYear "2020" @default.
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