Exploring the pattern of multi-scale directional second-order gradients for facial recognition

Yunfeng Hou, Weilin Wang, Chaohui Gong

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

One of the major challenges in facial recognition is to find an efficient method to extract the necessary features from face images under various lighting conditions. To deal with this problem, a great deal of existing algorithms have focused on analyzing the first-order gradients of a face image. This method has proven to be mildly resistant to lighting variations. However, these algorithms fail to make adequate use of potential information obtained from high-order gradients. In this paper, we propose to explore such high-order gradients along with an algorithm framework that performs the following: (1)utilize not only the information obtained from a first-order derivative, but also make use of the information provided by a second-order derivative; (2)a directional second-order gradient operator that captures a face image's edges and orientations; (3)an image-processing technique developed to suppress the noise in computed gradients using a structure tensor to obtain the second-order gradient. Four operators; First-order Gradient Operator(FGO), Second-order Gradient Operator(SGO), Directional Second-order Gradient Operator( DSGO), and Multi-scale Directional Second-order Gradient Operator(Mul-DSGO) are taken into consideration. Extensive experimental results using Yale B and Extended Yale B databases show that SGO performs better than FGO, DSGO performs better than SGO, and Mul-DSGO performs better than DSGO for facial recognition under various lighting conditions.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
Subtitle of host publicationJuly 27-29, 2016, Chengdu, China
EditorsJ. Chen, Q. Zhao
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages4073-4078
Number of pages6
Volume2016-August
ISBN (Electronic)9789881563910
ISBN (Print)9781509009107
DOIs
Publication statusPublished - 26 Aug 2016
EventChinese Control Conference 2016 - Chengdu International Conference Center, Chengdu, China
Duration: 27 Jul 201629 Jul 2016
Conference number: 35th
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7547213

Conference

ConferenceChinese Control Conference 2016
Abbreviated titleCCC 2016
CountryChina
CityChengdu
Period27/07/1629/07/16
Internet address

Keywords

  • Face recognition
  • First-order gradient
  • Illumination variance
  • Multi-scale directional second-order gradient

Cite this

Hou, Y., Wang, W., & Gong, C. (2016). Exploring the pattern of multi-scale directional second-order gradients for facial recognition. In J. Chen, & Q. Zhao (Eds.), Proceedings of the 35th Chinese Control Conference, CCC 2016: July 27-29, 2016, Chengdu, China (Vol. 2016-August, pp. 4073-4078). [7553989] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ChiCC.2016.7553989