Facial landmark configuration for improved detection

C. Huang, B. A. Efraty, U. Kurkure, M. Papadakis, S. K. Shah, I. A. Kakadiaris

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

5 Scopus citations

Abstract

In this paper, we present two methods to improve the performance of landmark detection algorithms that are designed to detect individual landmarks. We focus on the landmark configuration module that takes the output of the individual landmark detectors and searches for a configuration of optimal landmark locations based on appropriate shape constraints. We design two configuration search approaches: (i) a multivariate conditional Gaussian-based model, and (ii) a MRF-based formulation with higher-order potentials. We evaluated the performance of our proposed methods using several state-of-the-art detectors, and consistently obtained improved performance.

Original languageEnglish (US)
Title of host publicationWIFS 2012 - Proceedings of the 2012 IEEE International Workshop on Information Forensics and Security
Pages13-18
Number of pages6
DOIs
StatePublished - 2012
Event2012 IEEE International Workshop on Information Forensics and Security, WIFS 2012 - Tenerife, Spain
Duration: Dec 2 2012Dec 5 2012

Publication series

NameWIFS 2012 - Proceedings of the 2012 IEEE International Workshop on Information Forensics and Security

Conference

Conference2012 IEEE International Workshop on Information Forensics and Security, WIFS 2012
Country/TerritorySpain
CityTenerife
Period12/2/1212/5/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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