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Face recognition based on image fusion from visual and infrared images is a new study focus of the multimodal face recognition.
利用可见光图像和红外热图像进行图像融合是多模式人脸识别领域的一个新的研究方向。
This paper designs an image recognition system based on BP neural network and multi-sensor data fusion.
设计了一种基于BP网络和多传感器数据融合的图像识别系统。
As to sea image, the variance feature of region of interest and the luminance contrast feature between target and background are used to fusion recognition.
对于海面图像，分别采用感兴趣舰船目标区域的方差值、目标和背景亮度对比度这两个特征对目标进行融合识别。
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