A novel local pattern descriptor - Local vector pattern in high-order derivative space for face recognition

Kuo Chin Fan, Tsung Yung Hung

Research output: Contribution to journalArticlepeer-review

121 Scopus citations

Abstract

In this paper, a novel local pattern descriptor generated by the proposed local vector pattern (LVP) in high-order derivative space is presented for use in face recognition. Based on the vector of each pixel constructed by computing the values between the referenced pixel and the adjacent pixels with diverse distances from different directions, the vector representation of the referenced pixel is generated to provide the 1D structure of micropatterns. With the devise of pairwise direction of vector for each pixel, the LVP reduces the feature length via comparative space transform to encode various spatial surrounding relationships between the referenced pixel and its neighborhood pixels. Besides, the concatenation of LVPs is compacted to produce more distinctive features. To effectively extract more detailed discriminative information in a given subregion, the vector of LVP is refined by varying local derivative directions from the (n th-order LVP in (n-1) th-order derivative space, which is a much more resilient structure of micropatterns than standard local pattern descriptors. The proposed LVP is compared with the existing local pattern descriptors including local binary pattern (LBP), local derivative pattern (LDP), and local tetra pattern (LTrP) to evaluate the performances from input grayscale face images. In addition, extensive experiments conducting on benchmark face image databases, FERET, CAS-PEAL, CMU-PIE, Extended Yale B, and LFW, demonstrate that the proposed LVP in high-order derivative space indeed performs much better than LBP, LDP, and LTrP in face recognition.

Original languageEnglish
Article number6809981
Pages (from-to)2877-2891
Number of pages15
JournalIEEE Transactions on Image Processing
Volume23
Issue number7
DOIs
StatePublished - Jul 2014

Keywords

  • Local pattern descriptors
  • comparative space transform (CST)
  • face recognition
  • local binary pattern (LBP)
  • local derivative pattern (LDP)
  • local tetra pattern (LTrP)
  • local vector pattern (LVP)

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