3D perception based quality pooling on stereoscopic image

Haksub Kim, Junghwan Kim, Sanghoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we investigate a unique approach for characterizing the process of human 3D perception by reflecting psychological observation to quality assessment. When a human being perceives the 3D structure, the brain classifies the scene into the binocular- or monocular-vision region depending on the availability of binocular depth perception in the unit of a certain region. Furthermore, we include the 3D perception on the quality assessment, and propose a human 3D perception based stereo image quality pooling model.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages3382-3386
Number of pages5
ISBN (Electronic)9781479983391
DOIs
Publication statusPublished - 2015 Dec 9
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: 2015 Sep 272015 Sep 30

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2015-December
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing, ICIP 2015
CountryCanada
CityQuebec City
Period15/9/2715/9/30

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All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Kim, H., Kim, J., & Lee, S. (2015). 3D perception based quality pooling on stereoscopic image. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 3382-3386). [7351431] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December). IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351431