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利用可见光和热红外图像对人脸识别性能的比较分析

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We present a comprehensive performance analysis of multiple appearance-based face recognition methodologies on visible and thermal infrared imagery. We compare algorithms within and between modalities in terms of recognition performance, false alarm rates and requirements to achieve specified performance levels. The effect of illumination conditions on recognition performance is emphasized, as it underlines the relative advantage of radiometrically calibrated thermal imagery for face recognition.
标签:论文嵌入式
利用可见光和热红外图像对人脸识别性能的比较分析
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