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。
A new fusion of PCA and NMF combined with image fusing for face recognition method is proposed.
提出一种结合图像融合的PCA与NMF相融合的人脸识别的识别方法。
The fusion image is more suitable for human visual perception and the other image processing, such as image segmentation, feature extraction and object recognition.
融合图像更适合人的视觉和便于图像的后续处理，如图像分割、特征提取等。
Image registration is an important step of image fusion, change detection and target recognition in remote-sensing applications.
图像配准是图像融合、变化检测、目标识别等遥感应用中的重要步骤。
The research of this article mainly focuses on the recognition algorithm based on gait image sequences and the fusion method to consider the vision-based information and tactility-based information.
本文工作主要集中于基于图像序列的步态识别算法研究和步态视觉信息与步态触觉信息融合算法研究。
The feature fusion of image has more and more important applications, such as in target recognition, medical treatment and biology feature recognition.
而图像融合中的特征级融合在目标识别、医疗诊断以及生物特征识别等领域有着越来越重要的作用。
The cellular neural network (CNN) is a powerful tool for image processing and has been used for artificial vision, video compression, image fusion, motion and pattern recognition.
细胞神经网络(CNN)是图像处理的有力工具。它已用于人工视觉，录像压缩，图像融合、运动和图形识别等领域。
The cellular neural network (CNN) is a powerful tool for image processing and has been used for artificial vision, video compression, image fusion, motion and pattern recognition.
细胞神经网络(CNN)是图像处理的有力工具。它已用于人工视觉，录像压缩，图像融合、运动和图形识别等领域。
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