A study of image exposure for the stereoscopic visualization of sparkling materials

Victor Medina; Alexis Paljic; Dominique Lafon-Pham

doi:10.1117/12.2077681

8 February 2015 A study of image exposure for the stereoscopic visualization of sparkling materials

Victor Medina, Alexis Paljic, Dominique Lafon-Pham

Proceedings Volume 9396, Image Quality and System Performance XII; 93960N (2015) https://doi.org/10.1117/12.2077681
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

This work is performed as part of the perceptual validation stage in the stereoscopic visualization of computer- generated (CG) images of materials (typically car paints) containing sparkling metallic flakes. The perceived material aspect is closely linked to the flake density, depth, and sparkling; in turn, our perception of an image of said materials is strongly dependent on the image exposure, that is, the amount of light entering the sensor during the imaging process. Indeed, a high exposure may over saturate the image, reducing discrimination amongst high-luminance flakes, affecting the perceived depth; on the other hand, a low exposure may reduce image contrast, merging low-luminance flakes with the background, and reducing perceived flake density and sparkling. In order to choose the right exposure for each CG image, we have performed a user study where we presented observers with a series of stereoscopic photographs of plates, taken at different exposures with a radiometrically color-calibrated camera ,⁵ and asked them to assess each photograph's similarity to a physical reference. We expect these results to help us find a correlation between optical settings and visual perception regarding the aforementioned parameters, which we could then use in the rendering process to obtain the desired material aspect.

Citation Download Citation

Victor Medina, Alexis Paljic, and Dominique Lafon-Pham "A study of image exposure for the stereoscopic visualization of sparkling materials", Proc. SPIE 9396, Image Quality and System Performance XII, 93960N (8 February 2015); https://doi.org/10.1117/12.2077681

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