Evaluation of facial reconstructive surgery on patients with facial palsy using optical strain

  • Authors:

  • Matthew Shreve;Neeha Jain;Dmitry Goldgof;Sudeep Sarkar;Walter Kropatsch;Chieh-Han John Tzou;Manfred Frey

  • Affiliations:

  • University of South Florida, Department of Computer Science and Engineering, Tampa Florida;University of South Florida, Department of Computer Science and Engineering, Tampa Florida;University of South Florida, Department of Computer Science and Engineering, Tampa Florida;University of South Florida, Department of Computer Science and Engineering, Tampa Florida;Vienna University of Technology, Vienna Austria;Medical University of Vienna, Division of Plastic and Reconstructive Surgery, Vienna Austria;Medical University of Vienna, Division of Plastic and Reconstructive Surgery, Vienna Austria

  • Venue:
  • CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
  • Year:
  • 2011

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Abstract

We explore marker-less tracking methods for the purpose of evaluating the efficacy of facial re-constructive surgery on patients with facial palsies. After experimenting with several optical flow methods, we choose an approach that results in less than 2 pixels in tracking error for 15 markers tracked on the face. A novel method is presented that utilizes the non-rigid deformation observed on facial skin tissue to visualize the severity of facial paralysis. Results are given on a dataset that contains three videos of an individual recorded using a standard definition camera both before and after undergoing facial reconstructive surgery over a period of three years.