3D range data compression with a virtual fringe projection system

Song Zhang

doi:10.1117/12.2179114

14 May 2015 3D range data compression with a virtual fringe projection system

Song Zhang

Proceedings Volume 9489, Dimensional Optical Metrology and Inspection for Practical Applications IV; 948902 (2015) https://doi.org/10.1117/12.2179114
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

This paper presents our recent research on 3D range data compression using the virtual fringe projection techniques. Specifically, the virtual fringe projection system converts arbitrary 3D object into one single red, green, and blue (RGB) color image that can be further compressed using standard image compression techniques. Since the virtual fringe projection system can be ideal (e.g., no ambient lighting, no surface reflectivity variations, perfect tele-centric lens), making it convenient to apply algorithms that is difficult to be realized in a practical fringe projection system. For example, only using three fringe patterns, pixel by pixel absolute phase can be calculated without adopting a global fringe analysis techniques (e.g., Fourier transform). We will demonstrate that extremely high compression ratios can be easily achieved with the proposed method.

Citation Download Citation

Song Zhang "3D range data compression with a virtual fringe projection system", Proc. SPIE 9489, Dimensional Optical Metrology and Inspection for Practical Applications IV, 948902 (14 May 2015); https://doi.org/10.1117/12.2179114

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