WiMi Hologram Cloud Inc (WIMI)

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WIMI (NASDAQ: WIMI) develops 3D computer-generated hologram technology based on deep learning.

Source
https://cj.sina.com.cn/articles/view/1704103183/65928d0f0200360s0?from=finance

May 11, 2023

With the gradual maturity of 3D printing technology, 3D computer-generated technology has become another way for people to explore the digital world. In this field, hologram technology is a very promising technology. A hologram is an image that uses the principle of light wave interference to achieve a 3D effect. In a hologram, when light passes through an object, interference fringes will be generated, and the information of these fringes will be recorded, and then the 3D effect of the object will be presented through the reflection and refraction of light. Hologram technology can present real 3D objects optically, which can make people feel the actual existence of objects in space, giving people a visual effect of interlacing virtual and real.

Nowadays, due to the continuous development of deep learning technology, 3D computer-generated holograms based on deep learning have become a reality.

It is understood that WIMI (NASDAQ: WIMI) has developed a 3D computer-generated hologram technology based on deep learning. Deep learning can realize automatic object recognition and three-dimensional modeling by training neural networks. At the same time, it can also optimize the light field information, thereby improving the quality and resolution of the hologram. First, WIMI uses deep learning algorithms to analyze the 3D model, extracts the depth information, and then turns the depth image into a hologram after a series of optical processing. The technical process of WIMI 3D computer-generated hologram based on deep learning covers data preparation, model construction, deep learning model training, hologram generation and display, etc.

? Data preparation
To generate a hologram, first the data of the 3D object needs to be prepared. Usually, we can use 3D scanners or manual modeling to obtain data of 3D objects. In this process, attention needs to be paid to the accuracy and resolution of the data. The higher the accuracy of the data, the clearer the resulting hologram, and the higher the resolution, the more details can be presented.

? Model building
After preparing the data of the 3D object, the next step is to build the model. Model building is a key step in converting 3D objects into holograms. In this process, 3D modeling software is required. During the model building process, attention needs to be paid to the details of the model's geometry and texture maps. These factors can affect the quality and effect of the final hologram produced.

? Deep learning model training
After preparing the data of the 3D object and building the model, the next step is to train the deep learning model. Deep learning models are the key technology for converting 3D models into holograms. In this process, we can use deep learning models such as convolutional neural networks (CNN). In the process of model training, a large amount of data needs to be used for training to improve the accuracy and stability of the model.

? Hologram generation
After the training of the deep learning model is completed, the hologram can be generated next. In this process, we need to input the 3D model into the deep learning model, and then render the output into a hologram. During the hologram generation process, it is necessary to pay attention to the setting of the light source and the adjustment of the hologram. These factors affect the visual quality and realism of the resulting hologram.

? Hologram display
Finally, the resulting hologram needs to be displayed. In the process of displaying holograms, light sources and specific projection equipment, such as holographic projectors, are required. During the presentation, it is necessary to pay attention to the position of the light source and the intensity of the light, as well as the setting and calibration of the projection equipment. These factors affect the look and feel and clarity of the final hologram.

At present, the deep learning-based 3D computer-generated hologram technology of WIMI Hologram Research has broad application prospects, including virtual reality, augmented reality, medical imaging and other fields. In virtual reality, holograms can be used to present scenes and objects with 3D effects, allowing users to feel a real sense of presence. In augmented reality, holograms can be used to augment objects in a reality scene, giving users a deeper understanding of the 3D structure of the object. In medical imaging, holograms can be used to present the 3D structure of medical images and help doctors better diagnose conditions.