Glob3 Mobile: Serving and rendering huge point clouds on mobile devices and web

pages(aka: Feature Streaming server & Client)

Manuel de la CalleFOSS4G 2015@mdelacalle

mdelacalle@glob3mobile.com

Glob3 Mobile (G3M) is: an open source* API to build native maps applications that runs on any device

(*) github.com/glob3mobile/g3m

Multiplatformnative performance everywhere

2D/3D Maps

Any kind of data

Offline / OnlineCamera and Models animations

Utilities

Streaming

Rendering and interaction with huge datasetsSmooth experienceLooking for the best Performance● Optimize network usage, download only the data

relevant to the current visible area of the map● Minimize the waiting time to view/interact

○ download the “most significative” features first○ show the incoming data as soon as it’s available○ when more detailed data arrives, update the view

with more data

Why streaming geo features?

Architecture bird viewData importation

LOD Preprocessing

Rendering

Data importation

- Import huge unsorted data into a Quadtree on disk- No size limit (ok, not really, the disk space is the limit)- The resulting Quadtree gives the first categorization of the data into “Tiles”- Produces useful metadata like Bounding Box, Features Count, Density, etc

LOD (Level of Detail) Preprocessing

- produces the intermediate LOD levels

- sort the data in a “stream” friendly format- most-significative features go first, least-significative go last

- LOD Strategies- Shape preserving → for LiDAR point-clouds- Sorting → for point-vector datasets with a clear sorting criteria- Clustering → for point-vector datasets with all the features are “equals”

LOD Strategies

Shape preserving- Selection of points where the most-significative are the ones that describe

the general shape of the point-cloud. The shape of the cloud is always preserved (inclusive in the less-resolution levels).

Sorting- The sorting criteria defines which features are the most and least

significative.Clustering

- The intermediate levels are filled with Clustering information that describes the structure of the full-detailed-levels

LOD 0

LOD 1

LOD 2

Rendering

- download of metadata- size, covered sector, min/max height, etc- description of Quadtree nodes

- bounding box- average point- LOD Levels

- based on the projected size of the BB, estimate how many LOD levels are needed

- download the next to the current loaded level- cancel current download in case it's not more needed

Streaming 7

Demo time!

http://www.mapboo.comhttp://point-cloud.glob3mobile.comGoogle playApple Store

Glob3 Mobile: Serving and rendering huge point clouds on mobile devices and web

pages(aka: Feature Streaming server & Client)

Manuel de la CalleFOSS4G 2015@mdelacalle

mdelacalle@glob3mobile.com