An improved depth map estimation algorithm for view synthesis and multiview video coding

Xiaoyu Xiu; Jie Liang

doi:10.1117/12.863245

4 August 2010 An improved depth map estimation algorithm for view synthesis and multiview video coding

Xiaoyu Xiu, Jie Liang

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 774429 (2010) https://doi.org/10.1117/12.863245
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

Abstract

In this paper, an improved algorithm to generate a smooth and accurate depth map for view synthesis and multiview video coding is developed. For each block in the target view, the algorithm first uses epipolar geometry to find its matched block in the reference view, from which an initial depth is obtained using the triangulation method and depth projection. 3D warping is then applied to refine the depth. In addition, a structural similarity and maximum likelihood-based approach is developed to fuse the depth estimations from multiple references. Finally, the depth map is smoothed via segmentation and plane fitting. Compared to existing 3D warping-based depth estimation, the proposed algorithm can achieve up to 4 dB improvement in view synthesis, while requires much fewer bits to encode the depth map. Experimental results in multiview video coding show that the proposed method can outperform the H.264 JMVC software by more than 1 dB.

Citation Download Citation

Xiaoyu Xiu and Jie Liang "An improved depth map estimation algorithm for view synthesis and multiview video coding", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774429 (4 August 2010); https://doi.org/10.1117/12.863245

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