WiMi Hologram Cloud Inc (WIMI)

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WIMI develops a holographic building model reconstruction algorithm based on oblique photogrammetry point clouds.

Source
https://t.cj.sina.com.cn/articles/view/1765776051/693f9ab3020010t94?from=tech

February 27, 2023

The process of urbanization is developing rapidly all over the world, and large-scale and super-large-scale cities are still expanding and developing, posing constant challenges to the construction of public services in urban management. With the development of technology and technology, smart cities have been proposed and put into practice in recent years. With the application of urban big data and urban physical space technology, it is possible to construct urban holographic 3D overall data. WIMI Holographic Development A holographic 3D building model reconstruction algorithm based on oblique photogrammetry point clouds, which can help city managers make better use of urban space, and make the most reasonable construction and planning and effective management.

3D models of buildings can be divided into multiple levels of detail with different geometric and semantic information for different application levels. Models that distinguish between building roofs and facades constitute the structural system data for smart cities and are most widely used in urban construction and management. With the rapid development of aircraft and sensors, point cloud has become the main data for 3D urban reconstruction, and automated 3D urban reconstruction has been realized at the same time. As an important means of 3D point cloud data acquisition, laser radar technology (LiDAR) can directly obtain the position of the target, eliminating the complicated process of solving image correspondence, and has been widely used in urban 3D building reconstruction. However, airborne laser scanning ALS Building facades are often missing from the data, especially for tall buildings.

WIMI's holographic building model reconstruction algorithm based on oblique photogrammetry point cloud, combined with photogrammetry point cloud from aerial oblique images and 2D footprints of buildings, photogrammetry point cloud can be combined with structure in motion (SFM) and multi-view Holographic Stereoscopic (MVHS) pipeline for fully overlapping image generation. Oblique photogrammetry point clouds to reconstruct architectural models. Photogrammetry involves creating a 3D model using photos. By tilting a point cloud to capture a set of 3D points from different angles, by using a point cloud captured from multiple angles, a more accurate holographic 3D model of a building can be created.

In the preprocessing step of WIMI's holographic building model reconstruction algorithm based on oblique photogrammetry point cloud, the vertical plane is extracted from the point cloud, and then projected onto the coordinate plane to generate the line structure of the building. Afterwards, the footprint data is brought in and precisely aligned with the point cloud in the coordinate plane, since differences in origin and representation between the two data types inevitably lead to positional bias. Using line features as primitives is the preferred alternative to two-based data representations.

- In the first stage, the floor plan of the building is constructed using the footprint data of the building generated from the point cloud and the line structure of the building. Reorient edges based on footprint and filter based on spatial consistency.
- In the second stage, for each edge in the plan layout, the elevation points lying on it are projected onto its vertical plane, resulting in a point density distribution. The optimal profile for each edge is then generated through clustering, regularization, and binary integer programming functions. Finally, WIMI WIMI Hologram's holographic building model reconstruction algorithm based on oblique photogrammetry point cloud generates a 2D topology from the combination of plane layout and outline to reconstruct the holographic 3D model of the building. Once a holographic 3D urban building model is created, it can be used in various smart city applications such as urban planning, disaster response, and facility management.

WIMI's holographic building model reconstruction algorithm based on oblique photogrammetry point clouds can greatly optimize the construction of urban holographic 3D models and provide a more efficient and convenient solution for urban model reconstruction. Urban planning and construction use the model to visualize and analyze impacts.
This helps optimize land use, infrastructure planning and transportation systems. Such as urban traffic management, reconstruction through this technology can be used to create detailed maps of traffic patterns and congestion, which can help city authorities optimize traffic flow and reduce congestion. In terms of urban public safety, reconstruction through this technology can be used to create holographic 3D models of public spaces such as parks and streets, which helps identify potential safety risks such as blind spots and dark areas. This information can be used to optimize lighting and surveillance systems to improve public safety.

In general, WIMI (NASDAQ: WIMI)'s holographic building model reconstruction algorithm based on oblique photogrammetry point cloud provides a more efficient processing solution for urban models through surface reconstruction, texture mapping, point cloud registration, etc., and improves urban holographic The update efficiency of 3D models can be used to optimize urban planning, improve infrastructure management and improve the quality of life of residents, playing a key role in the development of smart cities.