Predicting object features due to specularity for a general purpose model based 3D object recognition system Robey, M., Venkatesh, S. and West, G. A. W. 1993, Predicting object features due to specularity for a general purpose model based 3D object recognition system, in DICTA 93: digital image computing : techniques and applications : conference proceedings : Sydney 8-10 December 1993 ; venue : Macquarie University, Australian Pattern Recognition Society, Sydney, N.S.W., pp. 517-524. Attached Files Name Description MIMEType Size Downloads Title Predicting object features due to specularity for a general purpose model based 3D object recognition system Author(s) Robey, M. Venkatesh, S. orcid.org/0000-0001-8675-6631 West, G. A. W. Conference name Digital Image Computing, Techniques and Applications conference (2nd : 1993 : Sydney, N.S.W) Conference location Sydney, N.S.W. Conference dates 8-10 Dec. 1993 Title of proceedings DICTA 93: digital image computing : techniques and applications : conference proceedings : Sydney 8-10 December 1993 ; venue : Macquarie University Editor(s) Fung, Ka Kit Ginige, Athula Publication date 1993 Conference series Digital Image Computing, Techniques and Applications conference Start page 517 End page 524 Total pages 8 Publisher Australian Pattern Recognition Society Place of publication Sydney, N.S.W. Keyword(s) image processing digital techniques computer vision ISBN 9780646165226 0646165224 Language eng Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30044799 Document type: Conference Paper Collection: School of Information Technology   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 01 May 2012, 10:58:48 EST Tue, 08 May 2012, 15:44:39 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 340 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 10:58:48 EST

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