Please use this identifier to cite or link to this item:
Title: Show, don't tell: Non-verbal eyewitness testimony based on non-artistic face sketches
Keywords: biologically inspired, eyewitness face sketch, mental bias, general-specific modeling, non-verbal, eyewitness testimony
Issue Date: 4-Jul-2013
Source: HOSSEIN NEJATI (2013-07-04). Show, don't tell: Non-verbal eyewitness testimony based on non-artistic face sketches. ScholarBank@NUS Repository.
Abstract: In this text we focus on the problem of eyewitness face sketch recognition, which over 30 years of psychological studies have showed that currently used eyewitness testimony procedures (ETPs) are inaccurate and highly unreliable. Moreover, current automatic face sketch recognition methods (FSRs) cannot be applied for recognizing forensic sketches. We here propose to use non-artistic sketches directly drawn by the eyewitness (Main Sketches), as the medium to retrieve eyewitness' mental image of the target face. In our FSR, we firstly estimate the sketching bias for each eyewitness and debias the Main Sketch, and then match this estimation to the photo database, using a weighted dynamic point correspondence, inspired by psychological suggestions for face perception in humans. We test our proposed method on a total of 860 sketches, drawn by 86 human participants, and showed that we can achieve significantly better performances in contrast to previous methods.
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Hossein_Thesis_Show Dont Tell.pdf20.88 MBAdobe PDF



Page view(s)

checked on Dec 2, 2017


checked on Dec 2, 2017

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.