Creation of 3D/AR models using point cloud data and AI.
Provides reliable point cloud data even in uneven environments and dynamic scenes!
To accurately perform AR in an external environment, the creation of point clouds is necessary. However, since point clouds typically need to be generated solely from stereo images from AR Glass, there may be cases where the accuracy of the point clouds is low. Therefore, by leveraging existing computer graphics and AI, high-precision point cloud generation is possible! We generate high-resolution 3D point clouds with 95% accuracy to meet customer needs. Additionally, rapid data processing enables real-time 3D scene reconstruction. 【Technical Details】 ■ Epipolar geometry-based multi-view stereo algorithms, including geometric correspondence, camera geometry, and scene geometry ・MVS ■ Depth estimation networks for accurate depth map generation ・DenseDepth, etc. ■ Stereo matching networks for end-to-end disparity map prediction ・PSMNet, GCNet, etc. *For more details, please download the PDF or feel free to contact us.
basic information
【Goal Image】 ■High-Precision 3D Point Cloud Generation - Generates high-resolution 3D point clouds with 95% accuracy to meet customer needs. ■Real-Time Processing - Achieves real-time 3D scene reconstruction through rapid data processing. ■Robust Performance - Provides reliable point cloud data even in uneven environments and dynamic scenes. ■Application Examples - Immediately usable 3D mapping for AR systems in automotive navigation, obstacle detection, and route planning. *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
