Synthesis-based recognition of low resolution faces

Sumit Shekhar, Vishal M. Patel, Rama Chellappa

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

30 Scopus citations


Recognition of low resolution face images is a challenging problem in many practical face recognition systems. Methods have been proposed in the face recognition literature for the problem when the probe is of low resolution, and a high resolution gallery is available for recognition. These methods modify the probe image such that the resultant image provides better discrimination. We formulate the problem differently by leveraging the information available in the high resolution gallery image and propose a generative approach for classifying the probe image. An important feature of our algorithm is that it can handle resolution changes along with illumination variations. The effectiveness of the proposed method is demonstrated using standard datasets and a challenging outdoor face dataset. It is shown that our method is efficient and can perform significantly better than many competitive low resolution face recognition algorithms.

Original languageEnglish (US)
Title of host publication2011 International Joint Conference on Biometrics, IJCB 2011
StatePublished - 2011
Event2011 International Joint Conference on Biometrics, IJCB 2011 - Washington, DC, United States
Duration: Oct 11 2011Oct 13 2011

Publication series

Name2011 International Joint Conference on Biometrics, IJCB 2011


Other2011 International Joint Conference on Biometrics, IJCB 2011
Country/TerritoryUnited States
CityWashington, DC

All Science Journal Classification (ASJC) codes

  • Biotechnology


Dive into the research topics of 'Synthesis-based recognition of low resolution faces'. Together they form a unique fingerprint.

Cite this