Polarization-color mapping, a user study in visualization  (Conference Presentation)

Andrew W. Kruse; Scott Tyo; Andrey Alenin

doi:10.1117/12.2530252

10 September 2019 Polarization-color mapping, a user study in visualization (Conference Presentation)

Andrew W. Kruse, Scott Tyo, Andrey Alenin

Proceedings Volume 11132, Polarization Science and Remote Sensing IX; 1113202 (2019) https://doi.org/10.1117/12.2530252
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

The method for mapping linear polarization imaging variables to the color channels of hue, saturation, and value in the HSV color space is a common technique for the visualization of polarization imaging data. This method utilizes the structural similarities between polarization vision and color vision so that the full linear polarization information is depicted in a single image. Recent developments have attempted to address issues, arising from the fact that the HSV color space is not an accurate model of human color vision, by mapping the polarization channels of intensity, degree, and angle to the color channels of lightness, colorfulness, and hue defined in the perceptually uniform color space CAM02-UCS. While the theoretical benefits of this method have been demonstrated using metrics of perceptual uniformity and channel independence, the practical benefits to human observers has not been studied. In this user study, the two methods are compared using a series of forced-choice questions on the perceived magnitude differences in DoLP value to determine 1) which method produces fewer errors, 2) which method produces a more linear scale in degree of polarization perception, 3) whether the perception of degree of polarization is independent of intensity and angle of polarization.

Conference Presentation

Citation Download Citation

Andrew W. Kruse, Scott Tyo, and Andrey Alenin "Polarization-color mapping, a user study in visualization (Conference Presentation)", Proc. SPIE 11132, Polarization Science and Remote Sensing IX, 1113202 (10 September 2019); https://doi.org/10.1117/12.2530252

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Polarization

Visualization

Color vision

Associative arrays

RGB color model

Error analysis

Visual process modeling

Keywords/Phrases

Search In:

Publication Years