Recovery of occluded face uisng direct combined model-based particle filter

Ching Ting Tu, James Jenn-Jier Lien

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

Abstract

In this paper, we present a Bayesian framework for recovering the occluded facial image without the aid of manual face alignment or user-specified occlusion region. The proposed Bayesian framework unifies the recovery stage with face alignment and occlusion detection, and such complex probability distribution is represented by a particle set. Into this framework, each particle is one possible solution of the recovered face which is composed of several patches. First, the occluded facial patches of each particle are detected, and then are recovered by inferring their local facial details from other non-occluded patches. Further, by including the global facial geometry as a constraint, the recovered results are robust to the local image noise which then cause the alignment parameters are accurately calculated. Particularly, we also propose a novel direct combined model (DCM)-based particle filter that utilizes the face specific prior knowledge to perform such particle-based solution efficiently and robustly. Our extensive experiment results demonstrate that the recovered images are quantitatively closer to the ground truth without manual involvement.

Original languageEnglish
Title of host publication2010 International Conference on System Science and Engineering, ICSSE 2010
Pages500-505
Number of pages6
DOIs
Publication statusPublished - 2010 Oct 11
Event2010 International Conference on System Science and Engineering, ICSSE 2010 - Taipei, Taiwan
Duration: 2010 Jul 12010 Jul 3

Publication series

Name2010 International Conference on System Science and Engineering, ICSSE 2010

Other

Other2010 International Conference on System Science and Engineering, ICSSE 2010
CountryTaiwan
CityTaipei
Period10-07-0110-07-03

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering

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