出版社：The Japanese Society for Artificial Intelligence
摘要：In the process of searching for suspected person, there is a case where an eyewitness looks through some photographs of criminal's face, or mug shots, to identify witnessed suspect's 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 human's 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 user's 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 user's 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 user's first selection. In our experiment, firstly displayed facial images in the proposed system are similar to the target, which leads to the reduction of user's load.
