A semi-automatic multi-view depth estimation method

Meindert Onno Wildeboer; Norishige Fukushima; Tomohiro Yendo; Mehrdad Panahpour Tehrani; Toshiaki Fujii; Masayuki Tanimoto

doi:10.1117/12.863355

4 August 2010 A semi-automatic multi-view depth estimation method

Meindert Onno Wildeboer, Norishige Fukushima, Tomohiro Yendo, Mehrdad Panahpour Tehrani, Toshiaki Fujii, Masayuki Tanimoto

Author Affiliations +

Proceedings Volume 7744, Visual Communications and Image Processing 2010; 77442B (2010) https://doi.org/10.1117/12.863355
Event: Visual Communications and Image Processing 2010, 2010, Huangshan, China

Abstract

In this paper, we propose a semi-automatic depth estimation algorithm whereby the user defines object depth boundaries and disparity initialization. Automatic depth estimation methods generally have difficulty to obtain good depth results around object edges and in areas with low texture. The goal of our method is to improve the depth in these areas and reduce view synthesis artifacts in Depth Image Based Rendering. Good view synthesis quality is very important in applications such as 3DTV and Free-viewpoint Television (FTV). In our proposed method, initial disparity values for smooth areas can be input through a so-called manual disparity map, and depth boundaries are defined by a manually created edge map which can be supplied for one or multiple frames. For evaluation we used MPEG multi-view videos and we demonstrate our algorithm can significantly improve the depth maps and reduce view synthesis artifacts.

Citation Download Citation

Meindert Onno Wildeboer, Norishige Fukushima, Tomohiro Yendo, Mehrdad Panahpour Tehrani, Toshiaki Fujii, and Masayuki Tanimoto "A semi-automatic multi-view depth estimation method", Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442B (4 August 2010); https://doi.org/10.1117/12.863355

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