Free hand sketch understanding using SVMs-chain modeling for spatial and temporal patterns

Authors:
Kun Yang;Jingwei Ye;Zhijun Li;Yu Qiao
Affiliations:
Department of Mathematics, Shanghai Jiao Tong University, Shanghai, China;School of Microelectronics, Shanghai Jiao Tong University, Shanghai, China;Department of Automation, Shanghai Jiao Tong University, Shanghai, China;Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
Venue:
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Year:
2009

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Abstract

The growing popularity of tablet PCs and intelligent pen-centric computing have increased the importance of freehand sketch recognition algorithms. This paper shall investigate the use of information fusion technique with Support Vector Machines (SVMs) chain for modeling and understanding the spatial and temporal information of sketch sequences. The approach for sketch recognition lies in the proposed dynamic and probabilistic framework based on combining SVMs-chain by the spatial and geometric features for systematically modeling the dynamic and stochastic behaviors of sketch.