Title
Accelerated real-time reconstruction of 3D deformable objects from multi-view video channels
Abstract
In this paper we present a new framework for an accelerated 3D reconstruction of deformable objects within a multi-view setup. It is based on a new memory management and an enhanced algorithm pipeline of the well known Image-Based Visual Hull (IBVH) algorithm that enables efficient and fast reconstruction results and opens up new perspectives for the scalability of time consuming computations within larger camera environments. As a result, a significant increase of frame rates for the volumetric reconstruction of deformable objects can be achieved using an optimized CUDA-based implementation on NVIDIA's Fermi-GPUs.
Year
DOI
Venue
2011
10.1007/978-3-642-21799-9_32
HCI (17)
Keywords
Field
DocType
image-based visual hull,multi-view video channel,enhanced algorithm pipeline,larger camera environment,new perspective,new memory management,new framework,accelerated real-time reconstruction,frame rate,volumetric reconstruction,fast reconstruction result,deformable object
Computer vision,Computer graphics (images),Visual hull,CUDA,Computer science,Communication channel,Memory management,Frame rate,Artificial intelligence,Computation,3D reconstruction,Scalability
Conference
Volume
ISSN
Citations 
6777
0302-9743
0
PageRank 
References 
Authors
0.34
12
4
Name
Order
Citations
PageRank
Holger Graf15615.10
Leon Hazke200.34
Svenja Kahn3395.50
Cornelius Malerczyk451.13