Interactive feature visualization and detection for 3D face classification

Jason McLaughlin, Shiaofen Fang, Jeffrey Huang, Sandra Jacobson, H. Eugene Hoyme, Luther Robinson, Tatiana Foroud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new visual approach to the surface shape analysis and classification of 3D facial images is presented. It aims to allow the users to visually explore the natural patterns and geometric features of 3D facial scans to provide decision-making information for face classification which can be used for the diagnosis of diseases that exhibit facial characteristics. Using surface feature analysis under a digital geometry analysis framework, we employ an interactive feature visualization technique that allows interactive definition, modification and exploration of facial features to provide the best discriminatory power for a given classification problem. OpenGL based surface shading and interactive lighting are employed to generate visual maps of discriminatory features to visually represent the salient differences between labeled classes. This technique will be applied to a medical diagnosis application for Fetal Alcohol Syndrome (FAS) which is known to exhibit certain facial patterns.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
Pages160-167
Number of pages8
DOIs
StatePublished - Dec 13 2010
Event9th IEEE International Conference on Cognitive Informatics, ICCI 2010 - Beijing, China
Duration: Jul 7 2010Jul 9 2010

Publication series

NameProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010

Other

Other9th IEEE International Conference on Cognitive Informatics, ICCI 2010
CountryChina
CityBeijing
Period7/7/107/9/10

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Keywords

  • 3D image analysis
  • Feature visualization
  • Medical diagnosis
  • Pattern classification
  • Polygon mesh surface
  • Shading and lighting

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

McLaughlin, J., Fang, S., Huang, J., Jacobson, S., Hoyme, H. E., Robinson, L., & Foroud, T. (2010). Interactive feature visualization and detection for 3D face classification. In Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010 (pp. 160-167). [5599748] (Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010). https://doi.org/10.1109/COGINF.2010.5599748