Original paper
Semisupervised Multiview Distance Metric Learning for Cartoon Synthesis
Volume: 21, Issue: 11, Pages: 4636 - 4648
Published: Nov 1, 2012
Abstract
In image processing, cartoon character classification, retrieval, and synthesis are critical, so that cartoonists can effectively and efficiently make cartoons by reusing existing cartoon data. To successfully achieve these tasks, it is essential to extract visual features that comprehensively represent cartoon characters and to construct an accurate distance metric to precisely measure the dissimilarities between cartoon characters. In this...
Paper Details
Title
Semisupervised Multiview Distance Metric Learning for Cartoon Synthesis
Published Date
Nov 1, 2012
Volume
21
Issue
11
Pages
4636 - 4648
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