3D Perception Adjustment of Stereoscopic Images Based upon Depth Map

  • Jong In Gil
  • Seung Eun Jang
  • Manbae Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7087)

Abstract

Recently, a variety of stereoscopic contents have been provided to academic and industrial fields for broadcasting, movies and mobile materials. However, few works have been interested in the adjustment of 3D contents for diverse displays. For instance, movie contents suited to large screen frequently do not deliver the same 3D perception to small-size screen such as mobile phone, tabular PCs, etc. For this, this paper presents an adjustment method of stereoscopic contents. 2D+Depth is one of popular methods with which stereoscopic images are generated. For this, depth planes are derived based on a depth histogram. By adjusting depth planes, a new depth map is made. Then 2D+Depth produces a stereoscopic image. Experiments performed on various 2D+Depth images validate that the proposed methods deliver more enhanced 3D depth based on subjective evaluation experiments.

Keywords

stereoscopic perception depth map adjustment subjective test 

References

  1. 1.
    Meesters, IJsselsteijn, W.A., Seuntiens, P.J.H.: A survey of perceptual evaluations and requirements of three-dimensional TV. IEEE Transactions on Circuits and Systems for Video Technology 14(3), 381–391 (2004)CrossRefGoogle Scholar
  2. 2.
    Blonde, L., Doyen, D., Borel, T.: 3D stereo rendering challenges and techniques. In: IEEE 2010 44th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6 (2010)Google Scholar
  3. 3.
    Fehn, C.: Depth-Image-Based Rendering (DIBR), Compression and Transmission for a New Approach on 3D-TV. In: Proc. of the SPIE, CA, U.S.A, vol. 5291, pp. 93–104 (January 2004)Google Scholar
  4. 4.
    Devore, F.: Probability and Statistics for Engineering and the Sciences, Duxbury (1995)Google Scholar
  5. 5.
    Harimi, A., Ahmadyfard, A.: Image Segmentation Using Correlative Histogram Modeled by Gaussian Mixture. In: IEEE Int’ Conf. on Image Processing (2009)Google Scholar
  6. 6.
  7. 7.
    Lee, E., Heo, H., Park, K.: The comparative measurements of eyestrain caused by 2D and 3D displays. IEEE Trans. on Consumer Electronics 56(3), 1677–1683 (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jong In Gil
    • 1
  • Seung Eun Jang
    • 1
  • Manbae Kim
    • 1
  1. 1.Department of Computer and Communications EngineeringKangwon National UniversityChunchonRepublic of Korea

Personalised recommendations