Robust compression of 3D point clouds using multiple description coding

Sung-Bum Park; Chang-Su Kim; Sang-Uk Lee

doi:10.1117/12.685780

2 October 2006 Robust compression of 3D point clouds using multiple description coding

Sung-Bum Park, Chang-Su Kim, Sang-Uk Lee

Proceedings Volume 6391, Multimedia Systems and Applications IX; 63910N (2006) https://doi.org/10.1117/12.685780
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

A multiple description coding (MDC) technique for 3D surface geometry is proposed in this work. The encoder uses a plane-based representation to describe point samples. Then, those plane primitives are classified into two disjoint subsets or two descriptions, each of which provides equal contribution in 3D surface description. The two descriptions are compressed and transmitted over distinct channels. At the decoder, if both channels are available, the descriptions are decoded and merged together to reconstruct a high quality surface. If only one channel is available, we employ a surface interpolation method to fill visual holes and reconstruct a smooth surface. Therefore, the proposed algorithm can provide an acceptable reconstruction even though one channel is totally lost. Simulation results demonstrate that the proposed algorithm is a promising scheme for 3D data transmission over noisy channels.

Citation Download Citation

Sung-Bum Park, Chang-Su Kim, and Sang-Uk Lee "Robust compression of 3D point clouds using multiple description coding", Proc. SPIE 6391, Multimedia Systems and Applications IX, 63910N (2 October 2006); https://doi.org/10.1117/12.685780

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