TY - CPAPER
KW - Intangible cultural heritages
KW - Human computer interaction
KW - mixed reality
KW - Community engagement
KW - Interactive media
KW - Community group
KW - Embodied experience
KW - heritage communities
KW - inquiring making
KW - medieval heritage
KW - mixed reality
KW - multi-sensory
KW - multi-sensory
AU - Simon Bowen
AU - Tim Shaw
AU - John Bowers
AU - Magnus Williamson
AB - We present an image stylization method to simulate a graceful Chinese art—Random-needle Embroidery designated as Intangible Cultural Heritage. We first develop an effective way to simulate a single thread, and define rendering primitive called stitch which is a collection of threads arranged in a certain pattern. Then, we segment the input image and partition each region into non-uniform sub-regions, from which a color quantization method is proposed to select colors used in the rendering process for each sub-region from a specific color library. During runtime, new stitches can be synthesized for each sub-region via sparse modeling based on the pre-defined stitches. Smoothness constraints are added to this process to avoid local distortions. Finally, rendering image is generated by placing stitches with different attributes on the canvas. Experiments show that our method can perform fine images with the style of random-needle.
DO - 10.1007/978-3-319-77380-3_49
LA - English
N1 - Journal Abbreviation: Lect. Notes Comput. Sci. Pages: 525 Publication Title: Lect. Notes Comput. Sci.
N2 - We present an image stylization method to simulate a graceful Chinese art—Random-needle Embroidery designated as Intangible Cultural Heritage. We first develop an effective way to simulate a single thread, and define rendering primitive called stitch which is a collection of threads arranged in a certain pattern. Then, we segment the input image and partition each region into non-uniform sub-regions, from which a color quantization method is proposed to select colors used in the rendering process for each sub-region from a specific color library. During runtime, new stitches can be synthesized for each sub-region via sparse modeling based on the pre-defined stitches. Smoothness constraints are added to this process to avoid local distortions. Finally, rendering image is generated by placing stitches with different attributes on the canvas. Experiments show that our method can perform fine images with the style of random-needle.
PB - Institute of Electrical and Electronics Engineers Inc.
PY - 2018
SN - 03029743 (ISSN); 9783319773797 (ISBN)
SP - 135
EP - 142
TI - Illuminations : Exploring Community Engagement with Intangible Heritage Through Multiple Making
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072383287&doi=10.1109%2fDigitalHeritage.2018.8810050&partnerID=40&md5=4ec6ea35ee388d98d54ff5330c126d55
VL - 10735 LNCS
ER -