By Topic

A Novel Depth Map Generation Method Based on K-means Clustering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Siming Meng ; Nat. Eng. Res. Center of Digital Life, Sun Yat-sen Univ., Guangzhou, China ; Hao Jiang

In this paper, we propose a novel depth map generation method. After a series of pre-treatment process, image quality capture and bilateral filtering, K-means clustering method has been used for classification of background and front objects. Then the depth map could be generated directly depend on the predeterminate model which is given a forehand, finally the correct depth map can be vividly created base on the layer Stratifying. The experiment result shows that the depth map directly represent the depth information and also earn good subjective evaluation.

Published in:

Digital Home (ICDH), 2012 Fourth International Conference on

Date of Conference:

23-25 Nov. 2012