The Effect of Image Pixelation on Unfamiliar-Face Matching
The Effect of Image Pixelation on Unfamiliar-Face Matching
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DOI：
10.1002/acp.2970
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发表时间：
2013-11-01
影响因子：
2.4
通讯作者：
Johnston, Robert A.
中科院分区：
文献类型：
--
作者：
Bindemann, Markus;Attard, Janice;Johnston, Robert A.
闭路电视（CCTV）的低分辨率像素化图像可用于将犯罪者与潜在嫌疑人的高分辨率照片进行比较。目前的研究调查了在这些条件下识别人的准确性，通过比较一系列匹配任务中不熟悉面孔的高分辨率和像素化照片。性能逐渐下降，不同水平的像素，并接近机会与水平图像分辨率只有8像素每张脸（实验1）。匹配精度可以通过减小像素化人脸的大小（实验2）或通过改变与高分辨率人脸图像进行比较的大小（实验3）来提高。此外，像素化产生的影响，似乎是可分离的其他因素，可能会影响匹配性能，如面部视图的变化（实验4）。这些研究结果再次证实，从闭路电视刑事鉴定必须谨慎对待，并提供了一些基本的估计识别精度与不同的像素水平。这项研究还强调了提高这项任务性能的潜在方法。版权所有© 2013约翰威利父子有限公司.
Low‐resolution, pixelated images from closed‐circuit television (CCTV) can be used to compare the perpetrators of crime with high‐resolution photographs of potential suspects. The current study investigated the accuracy of person identification under these conditions, by comparing high‐resolution and pixelated photographs of unfamiliar faces in a series of matching tasks. Performance decreased gradually with different levels of pixelation and was close to chance with a horizontal image resolution of only 8 pixels per face (Experiment 1). Matching accuracy could be improved by reducing the size of pixelated faces (Experiment 2) or by varying the size of the to‐be‐compared‐with high‐resolution face image (Experiment 3). In addition, pixelation produced effects that appear to be separable from other factors that might affect matching performance, such as changes in face view (Experiment 4). These findings reaffirm that criminal identifications from CCTV must be treated with caution and provide some basic estimates for identification accuracy with different pixelation levels. This study also highlights potential methods for improving performance in this task. Copyright © 2013 John Wiley & Sons, Ltd.