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Standard face recognition modules are fabricated for general-purpose applications while few have been designed with speed in mind. This paper proposes an efficient architecture for face recognition in which two self-contained Convolutional Neural Networks (CNNs) are used to detect and recognize faces in regions containing a dense grouping of Features from Accelerated Segment Test (FAST). This configuration...
While there are many current approaches to solving the difficulties that come with detecting, tracking, and recognizing a given face in a video sequence, the difficulties arising when there are differences in pose, facial expression, orientation, lighting, scaling, and location remain an open research problem. In this paper we present and perform the study and analysis of a computationally efficient...
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