Accelerated polyhedral visual hulls using OpenCL

Author

Duckworth, Tobias ; Roberts, David J.

Author_Institution

Univ. of Salford, Manchester, UK

fYear

2011

fDate

19-23 March 2011

Firstpage

203

Lastpage

204

Abstract

We present a method for reconstruction of the visual hull (VH) of an object in real-time from multiple video streams. A state of the art polyhedral reconstruction algorithm is accelerated by implementing it for parallel execution on a multi-core graphics processor (GPU). The time taken to reconstruct the VH is measured for both the accelerated and non-accelerated implementations of the algorithm, over a range of image resolutions and number of cameras. The results presented are of relevance to researchers in the field of 3D reconstruction at interactive frame rates (real-time), for applications such as telepresence.

Keywords

computer graphic equipment; coprocessors; image reconstruction; video signal processing; virtual reality; 3D reconstruction; graphics processing unit; image resolution; multicore graphics processor; polyhedral reconstruction algorithm; polyhedral visual hull; telepresence application; video streams; visual hull reconstruction; Cameras; Graphics processing unit; Image edge detection; Image resolution; Solid modeling; Three dimensional displays; Visualization; Parallel processing; Reconstruction algorithms; Virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual Reality Conference (VR), 2011 IEEE

Conference_Location

Singapore

ISSN

1087-8270

Print_ISBN

978-1-4577-0039-2

Electronic_ISBN

1087-8270

Type

conf

DOI

10.1109/VR.2011.5759469

Filename

5759469