融合主题和视觉特征的图片拼贴画合成方法

为辅助设计师进行图片拼贴画艺术创作,提出一种融合主题和视觉特征的图片拼贴画合成方法.给定容器图片和素材图片集,将容器图片划分为若干子区域;并使用圆填充算法及Delaunay三角剖分算法生成子区域的Voronoi图,得到补丁集;之后,计算主题-颜色相似性矩阵,进行素材图片与补丁之间的映射;最后,使用颜色线性融合方法进一步优化拼贴画视觉效果.在保留图片视觉特征的同时,该方法亦能保证容器和素材之间具有相似的主题信息.与市面流行拼贴画制作软件的对比实验表明,该方法合成的图片拼贴画能取得更好的视觉效果,在数字媒体和装饰领域中均有着潜在的应用价值.国家自然科学基金(61772440);;\n光电控制技术重点实验室和航空科学基金联合资助项目(20165168007);;\n浙江大学CAD&CG国家重点实验室开放课题(A1706

Crowdsourced intuitive visual design feedback

For many people images are a medium preferable to text and yet, with the exception of star ratings, most formats for conventional computer mediated feedback focus on text. This thesis develops a new method of crowd feedback for designers based on images. Visual summaries are generated from a crowd’s feedback images chosen in response to a design. The summaries provide the designer with impressionistic and inspiring visual feedback. The thesis sets out the motivation for this new method, describes the development of perceptually organised image sets and a summarisation algorithm to implement it. Evaluation studies are reported which, through a mixed methods approach, provide evidence of the validity and potential of the new image-based feedback method. It is concluded that the visual feedback method would be more appealing than text for that section of the population who may be of a visual cognitive style. Indeed the evaluation studies are evidence that such users believe images are as good as text when communicating their emotional reaction about a design. Designer participants reported being inspired by the visual feedback where, comparably, they were not inspired by text. They also reported that the feedback can represent the perceived mood in their designs, and that they would be enthusiastic users of a service offering this new form of visual design feedback