Volumetric video captures a subject from many viewpoints to reconstruct a moving three-dimensional representation that can be viewed from any angle, rather than a fixed two-dimensional image sequence.
Semantic Classification
Content
- Volumetric video uses arrays of cameras and depth sensors to reconstruct per-frame geometry and appearance, producing meshes or point clouds that play back as a free-viewpoint recording. Storage and bandwidth are demanding because each frame carries spatial data.
- It supplies realistic captured humans and objects for XR and metaverse scenes, complementing performance capture of synthetic characters. The output feeds point cloud and volume rendering pipelines.