@article{DONG2022, 
author = {Feng DONG and Wenxin CHEN and Hao FENG},
title = {Ceramic Bottle Modeling Design based on Perceptual Image},
year = {2022},
journal = {Journal of Ceramics},
volume = {43},
number = {3},
pages = {513-519},
keywords = {perceptual image, ceramic vase, modeling element, product design},
url = {https://www.sciopen.com/article/10.13957/j.cnki.tcxb.2022.03.020},
doi = {10.13957/j.cnki.tcxb.2022.03.020},
abstract = {In order to realize computer-aided modelling design of ceramic bottle driven by semantic parameters, the effective mapping relationship between the perceptual image and modelling elements of ceramic bottle is studied by taking the local modelling elements of ceramic bottle as the starting point. A questionnaire survey and cluster analysis were used to extract a typical semantic vocabulary of perceptual imagery. The quantitative relationship between perceptual image and ceramic bottle modeling elements was established by quantitative theory I. Using this relationship as a criterion, a new ceramic bottle model was generated based on a vocabulary of perceptual imagery, while a satisfaction survey was conducted on the new model to verify the validity of the method. It was found that the accuracy of this method can reach 83.2% according to the image vocabulary of "exquisite-rough" as an example.}
}