\input zb-basic
\input zb-ioport
\iteman{io-port 06097924}
\itemau{Liang, Zhang; Zhuang, Yueting; Yang, Yi; Xiao, Jun}
\itemti{Retrieval-based cartoon gesture recognition and applications via semi-supervised heterogeneous classifiers learning.}
\itemso{Pattern Recognition 46, No. 1, 412-423 (2013).}
\itemab
Summary: 2D cartoon plays an important role in many areas, but it requires effective methods to relieve manual labors. In this paper, we propose a heterogeneous cartoon gesture recognition method with applications. Firstly, heterogeneous features with different dimensions are assigned to express cartoon and human-subject images according to their characteristics. Then for recognition, we simultaneously integrate shared structure learning (SSL) and graph-based transductive learning into a joint framework to learn reliable classifiers on heterogeneous features. Provided with the framework, the similarities between cartoon and human-subject gestures can be quantitatively evaluated in a cross-feature manner. Extensive experiments on self-defined datasets have demonstrated the effectiveness of our method. Finally, applications illustrate the usages in various aspects of 2D cartoon industry.
\itemrv{~}
\itemcc{}
\itemut{character cartoon; cartoon clip synthesis; image retrieval}
\itemli{doi:10.1016/j.patcog.2012.06.025}
\end