A memory-efficient and time-consistent filtering of depth map sequences

Sergey Smirnov; Atanas Gotchev; Karen Egiazarian

doi:10.1117/12.855811

8 February 2010 A memory-efficient and time-consistent filtering of depth map sequences

Sergey Smirnov, Atanas Gotchev, Karen Egiazarian

Proceedings Volume 7532, Image Processing: Algorithms and Systems VIII; 753217 (2010) https://doi.org/10.1117/12.855811
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

'View plus depth' is a 3D video representation where a single color video channel is augmented with per-pixel depth information in the form of gray-scale video sequence. This representation is a good candidate for 3D video delivery applications, as it is display agnostic and allows for some parallax adjustments. However, the quality of the associated depth is an issue, as the depth channel is usually a result of estimation procedure based on stereo correspondences or comes from a noisy and low-resolution range sensor. Therefore, proper filtering of the depth channel is needed before it is used for compression and/or view rendering. The problem is even more pronounced in video, where temporal consistency of the depth sequence is required. In this paper, we propose a filtering approach to refine the quality of noisy, blocky, and temporally-inconsistent depth maps. We utilize color constraints from the video channel and modify a previous super-resolution approach to tackle the time consistency for video. Our implementation is fast and highly memory efficient. We present filtering results demonstrating the superiority of the developed technique.

Citation Download Citation

Sergey Smirnov, Atanas Gotchev, and Karen Egiazarian "A memory-efficient and time-consistent filtering of depth map sequences", Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 753217 (8 February 2010); https://doi.org/10.1117/12.855811

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