This paper proposes a score level fusion method using both global and local features for face recognition.
提出一种在分数层上对全局和局部特征进行融合的人脸识别方法。
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。
Referring to the limitation of driver face detection algorithm based on single feature in detection precision and reliability, a novel fusion algorithm of driver face detection is proposed.
针对基于单一特征驾驶员脸部检测算法在检测精度和可靠性方面的局限性，提出了一种新颖的驾驶员脸部检测融合算法。
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