eprintid: 628
rev_number: 12
eprint_status: archive
userid: 12
dir: disk0/00/00/06/28
datestamp: 2013-11-03 22:25:23
lastmod: 2015-05-29 20:15:04
status_changed: 2013-11-03 22:25:23
type: report
metadata_visibility: show
item_issues_count: 0
creators_name: Greene, G.
creators_name: Greene, R.
creators_name: Markvorsen, S.
creators_name: Nielson, H. B.
creators_name: Rogen, P.
creators_name: Sinclair, R.
creators_name: Unstrup, M.
title: SCANtechnology: Feature Recognition for Automated Sculpture Reproduction
ispublished: pub
subjects: machines
studygroups: esgi32
companyname: SCANtechnology
full_text_status: public
abstract: This report deals with a problem in the milling process of stone sculpture reproduction. We present a strategy for the complete milling process to the depth and detail defined by any spherical milling tool.
date: 1998
citation:   Greene, G. and Greene, R. and Markvorsen, S. and Nielson, H. B. and Rogen, P. and Sinclair, R. and Unstrup, M.  (1998) SCANtechnology: Feature Recognition for Automated Sculpture Reproduction.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/628/1/p6_201310031527.pdf