WiMi Announced Image-Fused Point Cloud Semantic Segmentation with Fusion Graph Convolutional Network
Beijing, Jan. 05, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an image-fused point cloud semantic segmentation method based on fused graph convolutional network, aiming to utilize the different information of image and point cloud to improve the accuracy and efficiency of semantic segmentation.
- Beijing, Jan. 05, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an image-fused point cloud semantic segmentation method based on fused graph convolutional network, aiming to utilize the different information of image and point cloud to improve the accuracy and efficiency of semantic segmentation.
- Image fusion point cloud semantic segmentation with fusion graph convolutional network can fuse image and point cloud data acquired by robots to improve the ability to perceive and understand the external environment, which helps robots to better accomplish tasks.
- The image-fused point cloud semantic segmentation with fusion graph convolutional network can fuse medical images and point cloud data to improve the segmentation and recognition accuracy of medical images, thus providing more accurate data support for medical diagnosis and treatment.
- WiMi will continue to improve the real-time processing of the image-fused point cloud semantic segmentation with fusion graph convolutional network capability to meet the demand.