title: [Retrieval of faces from features described by eyewitnesses].
abstract: This experiment proposes a computer technique to find a witnessed one in the database of faces, from an eyewitness's feature description. The method is basically to choose the face with maximum likelihood for an eyewitness's description. The likelihood is derived from one of three models, in which the description of a features by a witness is based on either (i) judgement through all features, (ii) feature sampling with replacement, or (iii) feature sampling without replacement. Three models were assessed by free description task of facial features.
  
  
  RESULTS
  these three models showed sufficient accuracy of retrieval, and the feature sampling without replacement model was superior to other two models.
authors.affiliation: National Research Institute of Police Science, Tokyo.
authors.forename: K
authors.initials: K
authors.lastname: Adachi
authors.forename: S
authors.initials: S
authors.lastname: Watanabe
authors.forename: A
authors.initials: A
authors.lastname: Suzuki
mesh_terms: D000328:Adult; D002755:Choice Behavior; D003198:Computer Simulation; D005145:Face; D005260:Female; D005556:Form Perception; D006801:Humans; D008297:Male; D008875:Middle Aged