Spatial mapping: Difference between revisions
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=== Meta Quest === | === Meta Quest === | ||
Meta Quest evolved from pure virtual reality to sophisticated mixed reality through progressive spatial mapping capabilities. Quest 3 launched in 2023 with revolutionary spatial capabilities, featuring Snapdragon XR2 Gen 2 providing 2× GPU performance versus Quest 2, dual LCD displays at 2064×2208 per eye, and sophisticated sensor array including two 4MP RGB color cameras for full-color passthrough, four hybrid monochrome/IR cameras for tracking, and one IR patterned light emitter serving as depth sensor.<ref name="MetaHelp"/> | [[Meta Quest]] evolved from pure virtual reality to sophisticated mixed reality through progressive spatial mapping capabilities. Quest 3 launched in 2023 with revolutionary spatial capabilities, featuring Snapdragon XR2 Gen 2 providing 2× GPU performance versus Quest 2, dual LCD displays at 2064×2208 per eye, and sophisticated sensor array including two 4MP RGB color cameras for full-color passthrough, four hybrid monochrome/IR cameras for tracking, and one IR patterned light emitter serving as depth sensor.<ref name="MetaHelp"/> | ||
The Scene API enables semantic understanding of physical environments through system-generated scene models with semantic labels including floor, ceiling, walls, desk, couch, table, window, and lamp. The API provides bounded 2D entities defining surfaces like walls and floors with 2D boundaries and bounding boxes, bounded 3D entities for objects like furniture with 3D bounding boxes, and room layout with automatic room structure detection and classification.<ref name="MetaHelp"/> | The Scene API enables semantic understanding of physical environments through system-generated scene models with semantic labels including floor, ceiling, walls, desk, couch, table, window, and lamp. The API provides bounded 2D entities defining surfaces like walls and floors with 2D boundaries and bounding boxes, bounded 3D entities for objects like furniture with 3D bounding boxes, and room layout with automatic room structure detection and classification.<ref name="MetaHelp"/> | ||