Surface Modelling of Jun Ware Based on Ordinary Differential Equations
Hui Liang
1
, Qian Zhang
2*
, Chang Fu
2
, Fei Liang
1
, Yusheng Sun
1
1
Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450000, China
2
School of Arts and Design, Zhengzhou University of Light Industry, Zhengzhou 450000, China
Corresponding Author Email: qianzhang@zzuli.edu.cn
https://doi.org/10.18280/ts.360107
Received: 22 December 2018
Accepted: 9 January 2019
Considering the immense value and preservation difficulty of Jun ware, this paper designs a
novel digital modelling strategy that captures and simulates the shape of Jun ware as a 3D
computer model. The ordinary differential equation (ODE)-based modelling technique, which
is known for its high accuracy, was introduced to simulate the complex curve surface and stitch
up the connection parts produced by different moulds. The ODE-based modelling was tailored
to the two main groups of Jun ware: General Jun ware and Official Jun ware. The analysis
show that our modelling method keeps Jun ware design simple and engaging to young
craftsmen.
Keywords:
ordinary differential equation (ODE),
shape modelling, digital modelling, Jun
ware
1. INTRODUCTION
Jun ware is a type of Chinese pottery, one of the Five Great
Kilns of Song dynasty ceramics. From material selection to
moulding, the ware is endowed with rich cultural and artistic
value in very production step. The classic works boast
enormous cultural and economic value nowadays. In 2016,
Christie’s auctioned several Jun wares at fancy prices in New
York, including USD 52,500 for a small blue bowl, USD
112,500 for a blue plate splashed with purple, and USD
389,000 for a round No.3 jardinière [1].
(a) Natural wheel-formed bowls
(b) Complex bowls with flower-like rims
Figure 1. Typical shapes of Jun ware
The typical shapes of Jun ware are presented in Figure 1. As
shown in Figure 1(a), most Jun wares are natural wheel-
formed bowls, small vases or wine-carafes, mostly with a
narrow neck, but some are meipings (tall, with a narrow base,
a wide body, a sharply-rounded shoulder, a short and narrow
neck and a small opening) [2]. As shown in Figure 1(b), some
Jun wares are made in double (two-part) moulds with more
complex shapes. Many of the rims are irregular, forming
flower-like shapes.
The shaping of Jun ware is a time-consuming procedure. On
average, the ceramist needs to stay at the workbench for more
than 8h a day. As a result, few people nowadays could like to
inherit this traditional craftsmanship. To preserve such a
valuable cultural heritage, it is imperative to develop a novel
and effective digitalized shaping method for Jun ware.
Jun wares fall into two main groups: General Jun ware and
Official Jun ware. The former refers to relatively popular
wares with simple shapes, which were produced from
Northern Song to Yuan dynasties. The latter, a much rarer type
of Jun ware, was made for imperial palaces from Yuan to early
Ming periods.
In view of the above, this paper designs a novel digital
modelling strategy that captures and simulates the shape of Jun
ware as a 3D computer model, which can be examined from
multiple angles and edited easily with plug-in for 3D
modelling software. The ordinary differential equation
(ODE)-based modelling technique, which is known for its high
accuracy, was introduced to simulate the complex curve
surface and stitch up the connection parts produced by
different moulds. The research findings shed new light on Jun
ware design, facilitate 3D modelling of various Jun wares, and
integrate computer graphics (CG) into digital production of the
ware.
The remainder of the paper is organized as follows: Section
2 reviews the relevant studies on ODE-based swept surface
modelling; Section 3 details the modelling of the two
categories of Jun ware: The General Jun ware and the Official
Jun ware; Section 4 applies the modelling strategy to specific
examples; Section 5 wraps up this paper with meaningful
Traitement du Signal
Vol. 36, No. 1, February, 2019, pp. 53-58
Journal homepage: http://iieta.org/Journals/ts