OpenCL-based vicinity computation for 3D multiresolution mesh compression

Soumaya Hachicha; Akram Elkefi; Chokri Ben Amar

doi:10.1117/12.2268709

17 March 2017 OpenCL-based vicinity computation for 3D multiresolution mesh compression

Soumaya Hachicha, Akram Elkefi, Chokri Ben Amar

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103412E (2017) https://doi.org/10.1117/12.2268709
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

3D multiresolution mesh compression systems are still widely addressed in many domains. These systems are more and more requiring volumetric data to be processed in real-time. Therefore, the performance is becoming constrained by material resources usage and an overall reduction in the computational time. In this paper, our contribution entirely lies on computing, in real-time, triangles neighborhood of 3D progressive meshes for a robust compression algorithm based on the scan-based wavelet transform(WT) technique. The originality of this latter algorithm is to compute the WT with minimum memory usage by processing data as they are acquired. However, with large data, this technique is considered poor in term of computational complexity. For that, this work exploits the GPU to accelerate the computation using OpenCL as a heterogeneous programming language. Experiments demonstrate that, aside from the portability across various platforms and the flexibility guaranteed by the OpenCL-based implementation, this method can improve performance gain in speedup factor of 5 compared to the sequential CPU implementation.

Citation Download Citation

Soumaya Hachicha, Akram Elkefi, and Chokri Ben Amar "OpenCL-based vicinity computation for 3D multiresolution mesh compression", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103412E (17 March 2017); https://doi.org/10.1117/12.2268709

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available