Titre : Multiplatform interactive navigation in large streamed 3D scenes

 

Encadrants : Jean-Christophe GONZATO and Pascal GUITTON

 

Equipe/laboratoire : Projet Iparla / LaBRI-INRIA

 

Description :

 

Recent advances in acquisition techniques of 3D models (from 3D-scanners to

satellite radars) allow generating very accurate models. However, this

accuracy implies to manipulate a large amount of data and thus, specific

strategies to process them. Moreover, the variety of acquisition techniques

is source of heterogeneous data structures (meshes, points, implicit

surfaces, etc.).

Different solutions were proposed to render and navigate in real-time in

these large scenes on different hardware from common desktop computers to PC

clusters. However, these techniques are specific and so, not scalable for

example on handheld devices.

 

The main challenge of this project is to design remote adaptive solutions

which could exploit as best as possible the power of any kind of hardware to

navigate in real-time in a unique dataset. This client/server approach

implies to take into account the available capabilities (memory, computing

resources, bandwidth, etc.) of each partner. An adapted data structure will

have to be proposed in order to allow an efficient streaming scheme.

 

This work will be lead using the Elkano framework developed in the Iparla

Project which allows easy and fast development of new distributed solutions

for the remote visualization of 3D models.