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Proceedings Paper

Removing foreground objects by using depth information from multi-view images
Author(s): Jaeho Lee; Changick Kim
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Paper Abstract

In this paper, we present a novel method for removing foreground objects in multi-view images. Unlike the conventional methods, which locate the foreground objects interactive way, we intend to develop an automated system. The proposed algorithm consists of two modules: 1) object detection and removal, and 2) detected foreground filling stage. The depth information of multi-view images is a critical cue adopted in this algorithm. By multi-view images, it is not meant a multi-camera equipped system. We use only one digital camera and take photos by hand. Although it may cause bad matching result, it is sufficient to detect and remove the foreground object by using coarse depth information. The experimental results indicate that the proposed algorithm provides an effective tool, which can be used in applications for digital camera, photo-realistic scene generation, digital cinema and so on.

Paper Details

Date Published: 24 September 2007
PDF: 9 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 669627 (24 September 2007); doi: 10.1117/12.735824
Show Author Affiliations
Jaeho Lee, Information and Communications Univ. (South Korea)
Changick Kim, Information and Communications Univ. (South Korea)

Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)

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