Face verification using D-HMM and adaptive K-means clustering

Published: Oct 1, 2011
Abstract
In this paper, we propose a pseudo 2 Dimension Discrete HMM (P2D-DHMM) for face verification. Each face image is scanned for frontal face in two ways. One way from top to bottom and one way from right to left by a sliding window and two set features are extracted. 2D-DCT coefficients as features are extracted. K-means clustering is used for generation two codebook and then by the vector quantization (VQ) two code words for each face image are...
Paper Details
Title
Face verification using D-HMM and adaptive K-means clustering
Published Date
Oct 1, 2011
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.