New methodology in facial composite construction: from theory to practice
New methodology in facial composite construction: from theory to practice
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DOI：
10.1504/ijesdf.2009.024900
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发表时间：
2009-01-01
影响因子：
0.8
通讯作者：
Clark, Clifford
中科院分区：
文献类型：
--
作者：
Gibson, Stuart J.;Solomon, Chris J.;Clark, Clifford
现有的用于构建从目击者记忆中生成的面部合成物的商业计算机化技术基本上是原始的基于机械特征的系统（例如PhotoFIT和Identikit）的电子版本。这种基于特征的方法的有效性从根本上受到证人从记忆中回忆和用语言准确描述面部特征的能力的限制。面部合成方法的最新进展已经导致软件系统不依赖于这个过程，而是利用认知要求较低的识别过程。我们提供了EFIT-V系统的技术概述，目前正在使用的一些警察服务在英国。
Existing commercial, computerised techniques for constructing facial composites generated from eyewitness memory are essentially electronic versions of the original, mechanical feature-based systems such as PhotoFIT and Identikit. The effectiveness of this feature-based approach is fundamentally limited by the witness's ability to recall and verbalise accurate descriptions of facial features from memory. Recent advances in facial composite methodology have led to software systems that do not rely on this process but instead exploit a cognitively less demanding process of recognition. We provide a technical overview of the EFIT-V system, currently being used by a number of police services in the UK.