模擬育種法を用いた顔の同定支援システムの改善

概要

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In the process of searching for suspected person, there is a case where an eyewitness looks through some photographs of criminals face, or mug shots, to identify witnessed suspects face or a searcher examines some mug shots in order to find some photographs that seem similar to a montage. However the eyewitness or the searcher has a heavy load to look through many photographs. It is widely known that this load causes a marked decline in humans ability to identify photographs. Therefore there is a need for a facial image retrieval system that can help humans to identify the facial images. An interactive facial image retrieval system combined the retrieval using linguistic keywords and the simulated breeding was proposed in order to reduce the users load. The system performs the retrieval by using the impressive adjective first, and then retrieves the facial images by using simulated breeding that can treat the users subjectivity. However, this method still requires the user to do heavy work. In order to improve the system, we add a retrieval method using Euclidean distance to the system for retrieving the facial images that are displayed for the users first selection. In our experiment, firstly displayed facial images in the proposed system are similar to the target, which leads to the reduction of users load.
社団法人　人工知能学会の論文
2003-11-01