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.
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Shreve, M. et al. (2011). Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23672-3_62
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DOI: https://doi.org/10.1007/978-3-642-23672-3_62
Publisher Name: Springer, Berlin, Heidelberg
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