Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/44934
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Type: Conference paper
Title: Thrift: Local 3D structure recognition
Author: Flint, A.
Dick, A.
Van Den Hengel, A.
Citation: Proceedings of DICTA 2007 / pp.182-188
Publisher: IEEE
Publisher Place: CDROM
Issue Date: 2007
ISBN: 0769530672
9780769530673
Conference Name: Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (9th : 2007 : Glenelg, Australia)
Editor: Bottema, M.
Statement of
Responsibility: 
Flint, Alex; Dick, A.; Hengel, Anton Van Den
Abstract: This paper presents a method for describing and recognising local structure in 3D images. The method extends proven techniques for 2D object recognition in images. In particular, we propose a 3D interest point detector that is based on SURF, and a 3D descriptor that extends SIFT. The method is applied to the problem of detecting repeated structure in range images, and promising results are reported.
Rights: © 2008 IEEE – All Rights Reserved
DOI: 10.1109/DICTA.2007.4426794
Published version: http://dx.doi.org/10.1109/dicta.2007.4426794
Appears in Collections:Aurora harvest 6
Computer Science publications

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