Similar Partial Copy Detection of Line Drawings Using a Cascade Classifier and Feature Matching
Similar Partial Copy Detection of Line Drawings Using a Cascade Classifier and Feature Matching
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DOI：
10.1007/978-3-642-19376-7_11
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发表时间：
2010-11
期刊：
影响因子：
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通讯作者：
Weihan Sun;K. Kise
中科院分区：
文献类型：
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作者：
Weihan Sun;K. Kise
图像出版物的版权保护是法医学的一项重要任务。在本文中，我们关注的是线条画，它是用单色线条来表示的。针对线条画抄袭中经常出现的部分拷贝和相似拷贝，提出了将目标检测和图像检索相结合的方法来检测可疑图像中的相似部分拷贝：首先通过级联分类器检测感兴趣区域(ROI)，然后利用特征匹配的方法从版权图像中定位相应的源部分。实验结果证明了该方法对复杂背景下相似部分拷贝检测的有效性。
Copyright protection of image publications is an important task of forensics. In this paper, we focus on line drawings, which are represented by lines in monochrome. Since partial copies and similar copies are always applied in plagiarisms of line drawings, we propose combining the technique of object detection and image retrieval to detect similar partial copies from suspicious images: first, detecting regions of interest (ROIs) by a cascade classifier; then, locate the corresponding source parts from copyrighted images using a feature matching method. The experimental results have proved the effectiveness of proposed method for detecting similar partial copies from complex backgrounds.