Improved face recognition at a distance using light field camera & super resolution schemes

  • Authors:
  • R. Raghavendra;Kiran B. Raja;Bian Yang;Christoph Busch

  • Affiliations:
  • Gjøvik University College, Gjøvik, Norway;Gjøvik University College, Gjøvik, Norway and Hochschule Darmstadt - CASED, Darmstadt, Germany;Gjøvik University College, Gjøvik, Norway;Gjøvik University College, Gjøvik, Norway and Hochschule Darmstadt - CASED, Darmstadt, Germany

  • Venue:
  • Proceedings of the 6th International Conference on Security of Information and Networks
  • Year:
  • 2013

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Abstract

In this paper, we present an empirical study on exploring the Light Field Camera (LFC) for identifying multiple faces present at different distance. Since LFC can render multiple focus images in single exposure, one can combine these multiple images to obtain single all-in-focus image. Thus the constructed all-in-focus image will have all regions in focus and hence allows one to capture more information about the subject present even at a far distance. At the same time one can also construct the super resolution image to further improve the face recognition at a distance. Thus, in this work, we explore both all-in-focus and super resolution schemes to evaluate the multiple face recognition at a distance using LFC. We carry out extensive experiments on light field face dataset and present both qualitative and quantitative results.