TY - CPAPER
KW - Virtual reality
KW - Historic preservation
KW - Conservation
KW - Architectural design
KW - Building Information Modelling
KW - Historical information
KW - Information theory
KW - Cultural Experience
KW - Heritage Landscape
KW - Heritage Landscape Information Model (HLIM)
KW - Integrated informations
KW - Landscape conservation
KW - Landscape information
AU - Chen Yang
AU - Feng Han
AU - Hangbin Wu
AU - Zhuo Chen
AB - Random-needle Embroidery (RNE) is a graceful Chinese Embroidery art enrolled in the World Intangible Heritage. In this paper, we propose a rendering method to translate a reference image into an art image with the style of random-needles. Since RNE artists create artwork by stitching thousands of intersecting threads with complex patterns into an embroidery cloth, the key of RNE rendering is to define its threads distributions in vector space (actual physical space) and generate its artistic styles in pixel space (coordinate system of the image). To this end, we first define “stitch” which is a collection of threads arranged in a certain pattern as the basic rendering primitive. A vector space stitch model is presented, which can automatically generate various thread distributions in stitches. Then, the rendering primitives are generated by rasterizing the stitches on 2D pixel arrays. During runtime, new stitches can be synthesized to portray the image content via sparse modeling based on the pre-defined stitches. In order to avoid mosaic effects, this result is further refined by incorporating local stitch vector constraints, in which we enforce the thread distribution of the local stitch to be similar to its adjacent stitches. 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 - 10.1007/978-3-319-73603-7_39
LA - English
N1 - Journal Abbreviation: Lect. Notes Comput. Sci. Pages: 492 Publication Title: Lect. Notes Comput. Sci.
N2 - Random-needle Embroidery (RNE) is a graceful Chinese Embroidery art enrolled in the World Intangible Heritage. In this paper, we propose a rendering method to translate a reference image into an art image with the style of random-needles. Since RNE artists create artwork by stitching thousands of intersecting threads with complex patterns into an embroidery cloth, the key of RNE rendering is to define its threads distributions in vector space (actual physical space) and generate its artistic styles in pixel space (coordinate system of the image). To this end, we first define “stitch” which is a collection of threads arranged in a certain pattern as the basic rendering primitive. A vector space stitch model is presented, which can automatically generate various thread distributions in stitches. Then, the rendering primitives are generated by rasterizing the stitches on 2D pixel arrays. During runtime, new stitches can be synthesized to portray the image content via sparse modeling based on the pre-defined stitches. In order to avoid mosaic effects, this result is further refined by incorporating local stitch vector constraints, in which we enforce the thread distribution of the local stitch to be similar to its adjacent stitches. 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 - Springer Verlag
PY - 2019
SN - 03029743 (ISSN); 9783319736020 (ISBN)
SP - 1221
EP - 1227
TI - Heritage Landscape Information Model (HLIM): Towards a Contextualised Framework for Digital Landscape Conservation in China
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042111381&doi=10.1007%2f978-3-319-73603-7_39&partnerID=40&md5=23992dd790d0c0f878c1acd2e876e505
VL - 10704 LNCS
ER -