近日，Siggraph Asia 2018审稿结果已出，实验室1篇论文《As-Compact-As-Possible Vectorization for Character Images》被接收为Technical Brief，均将在会议上做20分钟的Oral Presentation。Siggraph Asia是计算机图形学领域的顶级会议，今年将在日本东京召开。
论文信息如下：
《As-Compact-As-Possible Vectorization for Character Images》
Authors:
Zeqing Xia, Zhouhui Lian, Yingmin Tang Jianguo Xiao
Abstract:
It is quite time-consuming to produce high-quality compact font libraries, especially for north-east Asia language systems that contain thousands of characters. However, existing vectorization algorithms either generate results with large storage requirements, or lose most stylish details after vectorization. To solve this problem, we propose a novel data-driven vectorization algorithm for character images to make the number of control points on vectorized contours as few as possible while preserving significant details. Experimental results demonstrate that our method clearly outperforms other state-of-the-art approaches by not only preserving most stylish features but also dramatically reducing the size of vectorized fonts.