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Using Leg Geometry to Align Androgenic Hair Patterns in Low Resolution Images for Criminal and Victim Identification

机译:使用腿部几何形状对齐低分辨率图像中的雄激素头发样式,以进行犯罪和受害者识别

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Identifying criminals and victims in digital media can be very challenging when neither their faces nor tattoos are observable. These criminals and victims can be masked gunmen, paedophiles, and victims in child pornographic images. Though skin marks and blood vessel patterns hidden in color images have been proposed to address this problem, they have different limitations. Blood vessel patterns are not suitable for subjects with high concentration of body fat or melanin and skin marks are not suitable for the cases where only low resolution images are available. A recent paper pointed out that androgenic hair, which is also called body hair, and its follicles can be used as biometric traits and demonstrated that androgenic hair patterns in low resolution images are effective for personal identification. In that study, viewpoint and pose variations were ignored, but these variations are unavoidable in real cases. To overcome the weaknesses of the previous method, this paper proposes an algorithm based on geometric information for aligning androgenic hair patterns on lower legs. The experimental results on 1,138 low resolution images from 283 different legs show that the proposed alignment algorithm offers more than 5% improvement.
机译:当无法观察到他们的面孔和纹身时,识别数字媒体中的罪犯和受害者可能会非常具有挑战性。这些罪犯和受害者可能是儿童色情图片中的蒙面枪手,恋童癖者和受害者。尽管已经提出了隐藏在彩色图像中的皮肤标记和血管图案来解决该问题,但是它们具有不同的局限性。血管模式不适用于人体脂肪或黑色素浓度高的对象,皮肤痕迹不适用于仅提供低分辨率图像的情况。最近的一篇论文指出,雄激素的头发(也称为体毛)及其毛囊可以用作生物特征,并证明低分辨率图像中的雄激素的头发模式对于个人识别是有效的。在该研究中,视点和姿势的变化被忽略了,但是在实际情况下这些变化是不可避免的。为了克服以前方法的缺点,本文提出了一种基于几何信息的算法,用于对齐小腿上的雄性头发样式。在283条不同的腿上的1,138张低分辨率图像上的实验结果表明,所提出的对齐算法可提供5%以上的改进。

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