Sketch Recognition Based on Manifold Learning

Current feature-based methods for sketch recognition systems rely on human-selected features. Certain machine learning techniques have been found to be good nonlinear features extractors. In this paper, we apply a manifold learning method, kernel Isomap, with a new algorithm for multi-stroke sketch recognition, which significantly outperforms the standard featurebased techniques.

• Type: Conference
• Year: 2008
• Where: AAAI
• Authors: Heeyoul Choi, Tracy Hammond
• Keywords: AAAI 2008, Current Feature-based Methods, Intelligent Agents, Sketch Recognition, Sketch Recognition Systems