SCAN Technology: Feature recognition for automated sculpture reproduction

Gretchen Greene; Robert Greene; Steen Markvorsen; Hans Bruun Nielsen; Peter Røgen; Robert Sinclair; Michael Ungstrup

SCAN Technology: Feature recognition for automated sculpture reproduction

Gretchen Greene
, Robert Greene
, Steen Markvorsen
, Hans Bruun Nielsen
, Peter Røgen
, Robert Sinclair
, Michael Ungstrup

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

Abstract

A strategy for the reproduction (by milling in marble using a vertically moving spherical tool) of a given height function is found using a level curve analysis of the largest principal (upward pointing) curvature of the corresponding surface. Data fitting is applied to the discrete data set which represents the desired surface.

Original language	English
Title of host publication	Final Report from ESGI 32 Study Group with Industry, Department of Mathematics
Place of Publication	Lyngby
Publisher	Department of Mathematics, Technical University of Denmark
Publication date	1998
Pages	95-108
Publication status	Published - 1998
Event	32nd European Study Group with Industry - Technical University of Denmark, Lyngby, Denmark Duration: 31 Aug 1998 → 4 Sept 1998 Conference number: 32 http://www.maths-in-industry.org/past/ESGI/32/

Conference

Conference	32nd European Study Group with Industry
Number	32
Location	Technical University of Denmark
Country/Territory	Denmark
City	Lyngby
Period	31/08/1998 → 04/09/1998
Internet address	http://www.maths-in-industry.org/past/ESGI/32/

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Cite this

@inproceedings{1fd84911c9e848f49ffcbf0ba97164cc,

title = "SCAN Technology: Feature recognition for automated sculpture reproduction",

abstract = "A strategy for the reproduction (by milling in marble using a vertically moving spherical tool) of a given height function is found using a level curve analysis of the largest principal (upward pointing) curvature of the corresponding surface. Data fitting is applied to the discrete data set which represents the desired surface.",

author = "Gretchen Greene and Robert Greene and Steen Markvorsen and Nielsen, \{Hans Bruun\} and Peter R{\o}gen and Robert Sinclair and Michael Ungstrup",

year = "1998",

language = "English",

pages = "95--108",

booktitle = "Final Report from ESGI 32 Study Group with Industry, Department of Mathematics",

publisher = "Department of Mathematics, Technical University of Denmark",

note = "32nd European Study Group with Industry, ESGI 32 ; Conference date: 31-08-1998 Through 04-09-1998",

url = "http://www.maths-in-industry.org/past/ESGI/32/",

}

Greene, G, Greene, R, Markvorsen, S, Nielsen, HB, Røgen, P, Sinclair, R & Ungstrup, M 1998, SCAN Technology: Feature recognition for automated sculpture reproduction. in Final Report from ESGI 32 Study Group with Industry, Department of Mathematics. Department of Mathematics, Technical University of Denmark, Lyngby, pp. 95-108, 32nd European Study Group with Industry, Lyngby, Denmark, 31/08/1998.

SCAN Technology: Feature recognition for automated sculpture reproduction. / Greene, Gretchen; Greene, Robert; Markvorsen, Steen et al.
Final Report from ESGI 32 Study Group with Industry, Department of Mathematics. Lyngby: Department of Mathematics, Technical University of Denmark, 1998. p. 95-108.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

TY - GEN

T1 - SCAN Technology

T2 - 32nd European Study Group with Industry

AU - Greene, Gretchen

AU - Greene, Robert

AU - Markvorsen, Steen

AU - Nielsen, Hans Bruun

AU - Røgen, Peter

AU - Sinclair, Robert

AU - Ungstrup, Michael

N1 - Conference code: 32

PY - 1998

Y1 - 1998

N2 - A strategy for the reproduction (by milling in marble using a vertically moving spherical tool) of a given height function is found using a level curve analysis of the largest principal (upward pointing) curvature of the corresponding surface. Data fitting is applied to the discrete data set which represents the desired surface.

AB - A strategy for the reproduction (by milling in marble using a vertically moving spherical tool) of a given height function is found using a level curve analysis of the largest principal (upward pointing) curvature of the corresponding surface. Data fitting is applied to the discrete data set which represents the desired surface.

M3 - Article in proceedings

SP - 95

EP - 108

BT - Final Report from ESGI 32 Study Group with Industry, Department of Mathematics

PB - Department of Mathematics, Technical University of Denmark

CY - Lyngby

Y2 - 31 August 1998 through 4 September 1998

ER -