Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/33984
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Type: Journal article
Title: Occlusion handling in augmented reality using background foreground segmentation and projective geometry
Author: Sengupta, K.
Kumar, P.
Citation: Presence, 2005; 14(3):264-277
Publisher: M I T Press
Issue Date: 2005
ISSN: 1054-7460
Statement of
Responsibility: 
Hee Lin Wang Sengupta, Kuntal Kumar, Pankaj Sharma, Rajeev
Abstract: Developing a seamless merging of real and virtual image streams and 3D models is an active research topic in augmented reality (AR). We propose a method for realtime augmentation of real videos with 2D and 3D objects by addressing the occlusion issue in an unique fashion. For virtual planar objects (such as images), the 2D overlay is automatically overlaid in a planar region selected by the user in the video. The overlay is robust to arbitrary camera motion. Furthermore, a unique backgroundforeground segmentation algorithm renders this augmented overlay as part of the background if it coincides with foreground objects in the video stream, giving the impression that it is occluded by foreground objects. The proposed technique does not require multiple cameras, camera calibration, use of fiducials, or a structural model of the scene to work. Extending the work further, we propose a novel method of augmentation by using trifocal tensors to augment 3D objects in 3D scenes to similar effect and implement it in real time as a proof of concept. We show several results of the successful working of our algorithm in real-life situations. The technique works on a real-time video from a USB camera, Creative Webcam III, on a P IV 1.6 GHz system without any special hardware support.
Description: © 2005 by the Massachusetts Institute of Technology
DOI: 10.1162/105474605323384636
Published version: http://dx.doi.org/10.1162/105474605323384636
Appears in Collections:Aurora harvest
Computer Science publications

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