Synthesis of exaggerative caricature with inter and intra correlations

Chien Chung Tseng, James Jenn-Jier Lien

研究成果: Conference contribution

16 引文 斯高帕斯(Scopus)


We developed a novel system consisting of two modules, statisticsbased synthesis and non-photorealistic rendering (NPR), to synthesize caricatures of exaggerated facial features and other particular characteristics, such as beards or nevus. The statistics-based synthesis module can exaggerate shapes and positions of facial features based on non-linear exaggerative rates determined automatically. Instead of comparing only the inter relationship between features of different subjects at the existing methods, our synthesis module applies both inter and intra (i.e. comparisons between facial features of the same subject) relationships to make the synthesized exaggerative shape more contrastive. Subsequently, the NPR module generates a line-drawing sketch of original face, and then the sketch is warped to an exaggerative style with synthesized shape points. The experimental results demonstrate that this system can automatically, and effectively, exaggerate facial features, thereby generating corresponding facial caricatures.

主出版物標題Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings
版本PART 1
出版狀態Published - 2007 十二月 1
事件8th Asian Conference on Computer Vision, ACCV 2007 - Tokyo, Japan
持續時間: 2007 十一月 182007 十一月 22


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 1
4843 LNCS


Other8th Asian Conference on Computer Vision, ACCV 2007

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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