Table of Contents

Mega scene update

Incremental update and lossless full update are advanced features provided by EasyAR Mega to handle scene changes. They keep the original coordinate system unchanged after a scene update, 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 new video data to a spatial map that has already been successfully built. The cloud algorithm attempts to "stitch" feature points from the new data into the coordinate system of the old map, thereby updating the map without recreating a completely new Block spatial map.

See the following related features:

Lossless full update

The lossless full update feature allows developers to comprehensively update the entire scene with 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 and enabling seamless updates.

See the following related features:

Feature comparison

Feature Incremental update Lossless full update
Applicable scenario Local area update or supplement 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, append new video data as supplementation Based on the original map, rebuild with newly collected data
Coordinate system preserved Yes Yes

FAQ

  • 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 for local area updates or supplements, while keeping the original coordinate system unchanged.

    Lossless full update mapping: comprehensively updates the entire scene and rebuilds the map with newly collected data, while keeping the original coordinate system unchanged. The updated spatial map contains only the newly submitted data and does not contain the original data.

    Multi-map fusion mapping: combines multiple independently collected area maps into one complete map, usually for parallel collection in very large scenes.

  • If the entire scene has been completely renovated, can incremental update mapping be used?
    No. The algorithm cannot effectively match the new video with the old map content. If some spaces outside the renovated scene remain unchanged, collect them together with the unchanged scene so that incremental update can be achieved through feature fusion.

  • Will a failed incremental update or lossless full update mapping task affect the original map?
    No. Whether the mapping task succeeds or fails, the original map is not affected. After mapping succeeds, new map data is generated and the original map is not overwritten.