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Face Recognition: Understanding LBPH Algorithm - Towards ...
In computer science, face recognition is basically the task of recognizing a person based on its facial image. It has become very popular in the last two decades, mainly because of the new methods developed and the high quality of the current videos/cameras. Note that face recognition is different of face detection:...
MPCA MDA: A novel approach for face recognition based on ...
The UMLDA-based recognition algorithm is then empirically shown on face and gait recognition tasks to outperform four multilinear subspace solutions (MPCA, DATER, GTDA, TR1DA) and four linear ...
Face Recognition | Papers With Code
Facial recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces. The state of the art tables for this task are contained mainly in the consistent parts of the task : the ...
[1702.04710] Multi-Task Convolutional Neural Network for ...
This paper explores multi-task learning (MTL) for face recognition. We answer the questions of how and why MTL can improve the face recognition performance. First, we propose a multi-task Convolutional Neural Network (CNN) for face recognition where identity classification is the main task and pose, illumination, and expression estimations are the side tasks. Second, we develop a dynamic ......
FaceNet: A Unified Embedding for Face Recognition and ...
classifies each face as belonging to a known identity. For face verification, PCA on the network output in conjunction with an ensemble of SVMs is used. Taigman et al. [17] propose a multi-stage approach that aligns faces to a general 3D shape model. A multi-class net-work is trained to perform the face recognition task on over four thousand ...
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