BEIJING, June 2, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ:WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of a face recognition algorithm system based on convolutional neural networks. It uses the gray value features of face pixels to extract all feature information in the image with its powerful learning capability, thus avoiding information loss. The system uses a combination of three methods, namely local perceptual field, weight sharing, and pooling, to improve the algorithm's performance and reduce the order of magnitude of the weight parameters, reducing the complexity of training the convolutional neural network model. The system uses multiple convolutional and pooling layers to extract and reduce the dimensionality of the input image to obtain a high-dimensional feature representation of the image. For face images, the convolutional neural network can learn the features such as contour, texture, and color of the face, thus improving the accuracy and efficiency of face recognition.
Read more at prnewswire.comWiMi Hologram Cloud Developed A Convolutional Neural Network-based Face Recognition Algorithm
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