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机译:一个基于聚类的有效犯罪现场鞋类商标检索框架
Department of Computer Science and Engineering,Centre of Excellence for Document Analysis and Recognition,University at Buffalo,The State University of New York,Amherst, New York, 14228, USA;
Department of Computer Science and Engineering,Centre of Excellence for Document Analysis and Recognition,University at Buffalo,The State University of New York,Amherst, New York, 14228, USA;
Department of Computer Science and Engineering,Centre of Excellence for Document Analysis and Recognition,University at Buffalo,The State University of New York,Amherst, New York, 14228, USA;
real crime scenes; footwear marks; similarity measure; image retrieval; clustering; hough transform; attributed relational graph; ARG; earth mover's distance; EMD; shoe prints; ellipse detection; footwear print distance; FPD;
机译:基于本地到全局特征匹配的鲁棒鞋印方法匹配真实犯罪场景
机译:虚拟现实和综合犯罪现场扫描,用于沉浸式和异质犯罪现场重建
机译:从模拟犯罪现场获得花粉证据的鞋类花粉组合的评估:对法医杂志学的贡献
机译:真正犯罪现场标记的鞋类印刷检索系统
机译:犯罪现场登台者的犯罪现场行为。
机译:LE单元:犯罪现场还是犯罪制止者?
机译:一个有效的基于聚类的真实犯罪现场鞋类标记检索框架