Learning from Humanoid Cartoon Designs

Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first design layer to express role, physicality and personality traits. In this paper, we propose a knowledge mining framework that extracts primitive shape features from finished art, and trains models with labeled metadata attributes. The applications are in shape-based query of character databases as well as label-based generation of basic shape scaffolds, providing an informed starting point for sketching new characters. It paves the way for more intelligent shape indexing of arbitrary well-structured objects in image libraries. Furthermore, it provides an excellent tool for novices and junior artists to learn from the experts. We first describe a novel primitive based shape signature for annotating character body-parts. We then use support vector machine to classify these characters using their body part’s sha...

• Type: Conference
• Year: 2010
• Where: INCDM
• Authors: Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Yong Peng, Golam Ashraf
• Keywords: Basic Shape Scaffolds, Data Mining, INCDM 2010, Primitive Shape Features, Shape Signature