WiMi Hologram Cloud to Launch a 3D-CNN-driven Hologram Classification Algorithm


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WiMi Hologram Cloud Inc. declared the development of a 3D-CNN hologram classification algorithm. The deep learning-driven algorithm uses computer vision and a convolutional neural network to build classifiers for classifying targets in holograms.

A 3D stereo hologram input accurately captures the target’s shape and spatial attributes. 3D-CNN can extract 3D features of many resolutions and integrate them to enhance classification performance. The training model performs supervised learning using labeled holograms. At the same time, the back-propagation algorithm optimizes the model parameters.

Read More: WiMi Hologram Cloud to Introduce A 3D-CNN-based Hologram Classification Algorithm

TalkDev Bureau
TalkDev Bureau
The TalkDev Bureau has five well-trained writers and journalists, well versed in B2B enterprise technology industry, and constantly in touch with industry leaders for the latest trends, opinions, and other inputs- to bring you the best and latest in the domain.


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