Ultra-low power high-dynamic range color pixel embedding RGB to r-g chromaticity transformation

Michela Lecca; Leonardo Gasparini; Massimo Gottardi

doi:10.1117/12.2051528

15 May 2014 Ultra-low power high-dynamic range color pixel embedding RGB to r-g chromaticity transformation

Michela Lecca, Leonardo Gasparini, Massimo Gottardi

Proceedings Volume 9141, Optical Sensing and Detection III; 914107 (2014) https://doi.org/10.1117/12.2051528
Event: SPIE Photonics Europe, 2014, Brussels, Belgium

Abstract

This work describes a novel color pixel topology that converts the three chromatic components from the standard RGB space into the normalized r-g chromaticity space. This conversion is implemented with high-dynamic range and with no dc power consumption, and the auto-exposure capability of the sensor ensures to capture a high quality chromatic signal, even in presence of very bright illuminants or in the darkness. The pixel is intended to become the basic building block of a CMOS color vision sensor, targeted to ultra-low power applications for mobile devices, such as human machine interfaces, gesture recognition, face detection. The experiments show that significant improvements of the proposed pixel with respect to standard cameras in terms of energy saving and accuracy on data acquisition. An application to skin color-based description is presented.

Citation Download Citation

Michela Lecca, Leonardo Gasparini, and Massimo Gottardi "Ultra-low power high-dynamic range color pixel embedding RGB to r-g chromaticity transformation", Proc. SPIE 9141, Optical Sensing and Detection III, 914107 (15 May 2014); https://doi.org/10.1117/12.2051528

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