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- W33219092 abstract "Thermal infrared face images are determined by the facial structure’s radiating energy that is captured through infrared imaging devices. Comparing to visible images, local information of images is important for thermal infrared images. In our previous research, we proposed a matrixized classification model that named MatLSSVM and found that MatLSSVM can efficiently improve the recognition rate by inducing local information of images. Based on the advantage of MatLSSVM, in the paper we apply MatLSSVM to the infrared face recognition so as to explore a new efficient method for infrared face recognition. The experimental results here have shown that the reliability and efficiency of the matrixized classifier in the infrared face recognition." @default.
- W33219092 created "2016-06-24" @default.
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- W33219092 date "2012-01-01" @default.
- W33219092 modified "2023-09-25" @default.
- W33219092 title "One Infrared Face Recognition Method with Matrixized Model" @default.
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- W33219092 doi "https://doi.org/10.1007/978-3-642-25781-0_105" @default.
- W33219092 hasPublicationYear "2012" @default.
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