Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/64294
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Type: Conference paper
Title: Interactive modelling for AR applications
Author: Bastian, J.
Ward, B.
Hill, R.
Van Den Hengel, A.
Dick, A.
Citation: 9th IEEE International Symposium on Mixed and Augmented Reality 2010, Seoul, Korea, October 13-16, 2010: Science & Technology Proceedings / T. Höllerer, V. Lepetit, J. Park (eds.): pp.199-205
Publisher: IEEE
Publisher Place: USA
Issue Date: 2010
ISBN: 9781424493432
Conference Name: IEEE International Symposium on Mixed and Augmented Reality (9th : 2010 : Seoul, Korea)
Statement of
Responsibility: 
John Bastian, Ben Ward, Rhys Hill, Anton van den Hengel, Anthony Dick
Abstract: We present a method for estimating the 3D shape of an object from a sequence of images captured by a hand-held device. The method is well suited to augmented reality applications in that minimal user interaction is required, and the models generated are of an appropriate form. The method proceeds by segmenting the object in every image as it is captured and using the calculated silhouette to update the current shape estimate. In contrast to previous silhouette-based modelling approaches, however, the segmentation process is informed by a 3D prior based on the previous shape estimate. A voting scheme is also introduced in order to compensate for the inevitable noise in the camera position estimates. The combination of the voting scheme with the closed-loop segmentation process provides a robust and flexible shape estimation method. We demonstrate the approach on a number of scenes where segmentation without a 3D prior would be challenging.
Rights: ©2010 Crown
RMID: 0020105390
DOI: 10.1109/ISMAR.2010.5643570
Appears in Collections:Computer Science publications

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