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. © 2011 Springer-Verlag.
CITATION STYLE
Shreve, M., Jain, N., Goldgof, D., Sarkar, S., Kropatsch, W., Tzou, C. H. J., & Frey, M. (2011). Evaluation of facial reconstructive surgery on patients with facial palsy using optical strain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6854 LNCS, pp. 512–519). https://doi.org/10.1007/978-3-642-23672-3_62
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