Procedural Growth

Kin-Ming Wong

Procedural Growth

School of Creative Media

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

The connection between the biological growth process of natural organisms and their respective physical forms has been a subject of scientific interest for over a century. By using various biological growth processes as a means for generative art-making, computational artists create artificial organic forms through computer simulations. Our experimental art project, however, intends to explore non-biological procedural means for creating unseen organic forms.

Original language	English
Title of host publication	Art Machines 2
Subtitle of host publication	International Symposium on Machine Learning and Art 2021 Proceedings
Editors	Richard William Allen
Publisher	School of Creative Media, City University of Hong Kong
Chapter	60
Pages	205-206
Number of pages	2
ISBN (Print)	978-962-442-448-5, 9789624424485
Publication status	Published - Jun 2021
Event	Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2) - City University of Hong Kong, Hong Kong, China Duration: 10 Jun 2021 → 14 Jun 2021 https://www.cityu.edu.hk/artmachines2/

Conference

Conference	Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)
Place	China
City	Hong Kong
Period	10/06/21 → 14/06/21
Internet address	https://www.cityu.edu.hk/artmachines2/

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@inproceedings{772a312041c640cd919af73e941a33b0,

title = "Procedural Growth",

abstract = "The connection between the biological growth process of natural organisms and their respective physical forms has been a subject of scientific interest for over a century. By using various biological growth processes as a means for generative art-making, computational artists create artificial organic forms through computer simulations. Our experimental art project, however, intends to explore non-biological procedural means for creating unseen organic forms.",

author = "Kin-Ming Wong",

year = "2021",

month = jun,

language = "English",

isbn = "978-962-442-448-5",

pages = "205--206",

editor = "Allen, {Richard William}",

booktitle = "Art Machines 2",

publisher = "School of Creative Media, City University of Hong Kong",

note = "Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2) ; Conference date: 10-06-2021 Through 14-06-2021",

url = "https://www.cityu.edu.hk/artmachines2/",

}

Procedural Growth. / Wong, Kin-Ming.
Art Machines 2: International Symposium on Machine Learning and Art 2021 Proceedings. ed. / Richard William Allen. School of Creative Media, City University of Hong Kong, 2021. p. 205-206.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Procedural Growth

AU - Wong, Kin-Ming

PY - 2021/6

Y1 - 2021/6

N2 - The connection between the biological growth process of natural organisms and their respective physical forms has been a subject of scientific interest for over a century. By using various biological growth processes as a means for generative art-making, computational artists create artificial organic forms through computer simulations. Our experimental art project, however, intends to explore non-biological procedural means for creating unseen organic forms.

AB - The connection between the biological growth process of natural organisms and their respective physical forms has been a subject of scientific interest for over a century. By using various biological growth processes as a means for generative art-making, computational artists create artificial organic forms through computer simulations. Our experimental art project, however, intends to explore non-biological procedural means for creating unseen organic forms.

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-962-442-448-5

SN - 9789624424485

SP - 205

EP - 206

BT - Art Machines 2

A2 - Allen, Richard William

PB - School of Creative Media, City University of Hong Kong

T2 - Art Machines 2: International Symposium on Machine Learning and Art 2021 (AM2)

Y2 - 10 June 2021 through 14 June 2021

ER -

Procedural Growth

Abstract

Conference

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