Removing foreground objects by using depth information from multi-view images
Jae-Ho Lee, Changick Kim · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.