Table of Contents

Mega scene update

Incremental update and lossless full update are advanced features provided by EasyAR Mega to address scene changes, enabling the maintenance of the original coordinate system unchanged after scene updates, ensuring that developed AR content positions do not shift, thereby greatly improving application development efficiency.

Incremental update

The incremental update feature allows developers to append and upload new video data to an already constructed spatial map. The cloud algorithm attempts to "stitch" the feature points of the new data into the coordinate system of the old map, thereby achieving map updates without the need to recreate a completely new Block spatial map.

Related features:

Lossless full update

The lossless full update feature allows developers to comprehensively update the entire scene using newly collected data while keeping the original coordinate system unchanged. The cloud algorithm rebuilds the spatial map based on the new video data, ensuring that developed AR content positions do not shift, achieving seamless updates.

Related features:

Feature comparison

Feature Incremental update Lossless full update
Applicable scenario Local area updates or supplements Comprehensive update of the entire scene
Collection device GoPro Max/Max2 panoramic camera GoPro Max/Max2 panoramic camera
Data source Based on the original map, appends new video data for supplementation Based on the original map, rebuilds using newly collected data
Coordinate system retention Yes Yes

Common questions

  • What is the difference between incremental update mapping, lossless full update mapping, and multi-map fusion mapping?
    Incremental update mapping: Adds new data to an existing map, used for local area updates or supplements, while keeping the original coordinate system unchanged.
    Lossless full update mapping: Comprehensively updates the entire scene, rebuilds the map using newly collected data, but keeps the original coordinate system unchanged. The updated spatial map only includes the newly submitted data and excludes the original data.
    Multi-map fusion mapping: Combines multiple independently collected area maps into one complete map, typically used for parallel collection of large-scale scenes.

  • If the entire scene is fully renovated, can incremental update mapping be used?
    No, the algorithm cannot effectively match the new video with the content of the old map. If there are parts of the space outside the renovated scene that have not been updated, collect them together with the unchanged areas to enable incremental updates through feature fusion.

  • Will a failed incremental update or lossless full update mapping affect the original map?
    No. Whether the mapping task succeeds or fails, the original map will not be affected. Upon successful mapping, a new map data is generated without overwriting the original map.