
Proceedings Paper
Removing foreground objects by using depth information from multi-view imagesFormat | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)
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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