A foreground object features-based stereoscopic image visual comfort assessment model

Xin Jin; G. Jiang; H. Ying; M. Yu; S. Ding; Z. Peng; F. Shao

doi:10.1117/12.2073606

4 November 2014 A foreground object features-based stereoscopic image visual comfort assessment model

Xin Jin, G. Jiang, H. Ying, M. Yu, S. Ding, Z. Peng, F. Shao

Author Affiliations +

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92730Q (2014) https://doi.org/10.1117/12.2073606
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

Since stereoscopic images provide observers with both realistic and discomfort viewing experience, it is necessary to investigate the determinants of visual discomfort. By considering that foreground object draws most attention when human observing stereoscopic images. This paper proposes a new foreground object based visual comfort assessment (VCA) metric. In the first place, a suitable segmentation method is applied to disparity map and then the foreground object is ascertained as the one having the biggest average disparity. In the second place, three visual features being average disparity, average width and spatial complexity of foreground object are computed from the perspective of visual attention. Nevertheless, object’s width and complexity do not consistently influence the perception of visual comfort in comparison with disparity. In accordance with this psychological phenomenon, we divide the whole images into four categories on the basis of different disparity and width, and exert four different models to more precisely predict its visual comfort in the third place. Experimental results show that the proposed VCA metric outperformance other existing metrics and can achieve a high consistency between objective and subjective visual comfort scores. The Pearson Linear Correlation Coefficient (PLCC) and Spearman Rank Order Correlation Coefficient (SROCC) are over 0.84 and 0.82, respectively.

Citation Download Citation

Xin Jin, G. Jiang, H. Ying, M. Yu, S. Ding, Z. Peng, and F. Shao "A foreground object features-based stereoscopic image visual comfort assessment model", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92730Q (4 November 2014); https://doi.org/10.1117/12.2073606

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
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Visualization

Virtual colonoscopy

Image segmentation

Visual process modeling

Molybdenum

Image visualization

3D video compression

Show All Keywords

Keywords/Phrases

Search In:

Publication Years