Linking face images captured from the optical phenomenon in the wild for forensic science

Abhijit Das, Abira Sengupta, M. A. Ferrer-Ballester, U. Pal, M. Blumenstein
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引用次数: 1

Abstract

This paper discusses the possibility of use of some challenging face images scenario captured from optical phenomenon in the wild for forensic purpose towards individual identification. Occluded and under cover face images in surveillance scenario can be collected from its reflection on a surrounding glass or on a smooth wall that is under the coverage of the surveillance camera and such scenario of face images can be linked for forensic purposes. Another similar scenario that can also be used for forensic is the face images of an individual standing behind a transparent glass wall. To investigate the capability of these images for personal identification this study is conducted. This work investigated different types of features employed in the literature to establish individual identification by such degraded face images. Among them, local region based featured worked best. To achieve higher accuracy and better facial features face image were cropped manually along its close bounding box and noise removal was performed (reflection, etc.). In order to experiment we have developed a database considering the above mentioned scenario, which will be publicly available for academic research. Initial investigation substantiates the possibility of using such face images for forensic purpose.
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连接从野外光学现象中捕获的面部图像,用于法医科学
本文讨论了使用从野外光学现象中捕获的一些具有挑战性的面部图像场景用于法医目的的可能性,以实现个人识别。在监控场景中,被遮挡和被遮挡的人脸图像可以通过其在监控摄像头覆盖的周围玻璃或光滑墙壁上的反射来收集,并且可以将这种人脸图像场景链接起来用于法医目的。另一个类似的场景也可以用于法医,那就是一个人站在透明玻璃墙后面的面部图像。为了研究这些图像的个人识别能力,本研究进行了。这项工作调查了文献中使用的不同类型的特征,以建立这种退化的人脸图像的个人识别。其中,基于局部区域的特色效果最好。为了获得更高的精度和更好的面部特征,人脸图像沿着其封闭的边界框进行手动裁剪,并进行噪声去除(反射等)。为了进行实验,我们开发了一个考虑到上述场景的数据库,该数据库将公开供学术研究使用。初步调查证实了将这些人脸图像用于法医目的的可能性。
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