Digital Aging

Abstract

The MITRE Corporation manages Federally Funded Research and Development Centers for the United States government. Harvey Mudd College is a liberal arts college of science, engineering, and mathematics in Claremont California. This work is a Harvey Mudd Clinic project supported by the MITRE Innovation Program, and is the fourth such project between the Harvey Mudd Clinic program and The MITRE Corporation. Of ongoing interest at MITRE are the interrelated fields of biometrics, forensics, and identity, which utilize techniques and technologies such as DNA, fingerprints, facial images, and other methods of identifying people for purposes of both identification and authentication. A challenge in this area is how to aid the search for missing children. According to public data, there have been over 450,000 reports of missing children every year for the past several years (National Center for Missing and Exploited Children,2016). Forensic artists have been working on manual digital aging techniques to aid the search and possible re-identification of missing children. However, the limitations of manual techniques led to questions of how the process might be automated. To address this issue, our Clinic team has researched existing methods of automated aging and then implemented an algorithm to simulate aging in face images, particularly for children. The algorithm takes a face image and produces an output image of the subject aged by the desired number of years. We then evaluated the perceived ages and photorealism of our output images with a user study to analyze the effectiveness of the algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2016
Accession Number
AD1132149

Entities

People

  • Hana Kim
  • Hannah Young
  • Josh Petrack
  • Vincent Fiorentini

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Authentication
  • Cameras
  • Computational Science
  • Computer Science
  • Computer Vision
  • Databases
  • Detection
  • Identification
  • Image Processing
  • Models
  • Pattern Recognition
  • Probability
  • Recognition
  • Simulations
  • Three Dimensional
  • Two Dimensional
  • United States
  • United States Government
  • User Manuals

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