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WiMi Developed Multi-Objective 3D Modeling and Reconstruction System

BEIJING, Sept. 1, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR")

articleWimi Hologram Cloud Inc.September 1, 20233/company/wimi-hologram-cloud-inc/news/wimi-developed-multi-objective-3d-modeling-and-reconstruction-system
WiMi Developed Multi-Objective 3D Modeling and Reconstruction System

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[{"type":"text","content":"BEIJING, Sept. 1, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced that a multi-objective 3D modeling and reconstruction system has been developed based on artificial intelligence techniques. The system is able to be trained on large-scale datasets through deep learning algorithms and other advanced techniques, and optimization algorithms are used to improve the accuracy and generalization ability of the network. It also employs a variety of preprocessing and reconstruction algorithms to enable efficient and accurate 3D modeling and reconstruction. The system is characterized by high scalability, ease of use and multifunctionality, and users can select the appropriate functions according to their needs and use them in combination.\nThe core module of the system includes point cloud data acquisition, data preprocessing, feature point extraction, and mesh reconstruction. First of all, the fine information of the object surface is captured through various point cloud data acquisition methods, which provides the basis for the later data preprocessing. Point cloud data acquisition is a necessary step for 3D image processing. Then the collected data will be preprocessed, and multiple data preprocessing techniques, such as denoising, smoothing, segmentation, etc., will be utilized to effectively reduce the noise and interference in the point cloud data and highlight the feature information of the object. After this, a convolutional neural network (CNN) will be built to automatically learn the feature information of the point cloud data and extract the most valuable features from it, feature point extraction is a key part of 3D modeling. Finally, mesh reconstruction is performed, which is the key part of converting the point cloud data into a triangular mesh model, using algorithms to convert the point cloud data into a triangular mesh model with surface smoothing and patching to achieve efficient and accurate 3D modeling.\nMulti-objective 3D modeling and reconstruction system is a 3D modeling system using advanced algorithms and tools, which has the advantages of multi-objective optimization, automatic reconstruction, intelligent interaction, and high-precision modeling, etc. It can simultaneously conside...

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