Removing foreground objects by using depth information from multi-view images

Jaeho Lee; Changick Kim

doi:10.1117/12.735824

24 September 2007 Removing foreground objects by using depth information from multi-view images

Jaeho Lee, Changick Kim

Proceedings Volume 6696, Applications of Digital Image Processing XXX; 669627 (2007) https://doi.org/10.1117/12.735824
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

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.

Citation Download Citation

Jaeho Lee and Changick Kim "Removing foreground objects by using depth information from multi-view images", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 669627 (24 September 2007); https://doi.org/10.1117/12.735824

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