In this paper the authors propose a method of high quality facial and performance capture techniques using a single low quality camera. What’s more interesting is that the method described does not only capture facial shape and structure but is also able to detect area with wrinkles and create wrinkle maps on the fly as well as capture a respectable amount of other skin and pore detail.
What interesting is that some of the limitations describes include subject obstruction (obviously) but also light changes which can be difficult to control should the subject move or turn during a performance.
I find this technology very interesting as it seems that videogrammetry could soon prove to be a more accurate and affordable method of scanning objects when compared to photogrammetry, something which I am currently experimenting with.
*Personal photogrammetry experiment… (please kill me)
Cao, C., Bradley, D., Zhou, K. and Beeler, T. (2015). Real-time high-fidelity facial performance capture. ACM Transactions on Graphics, 34(4), pp.46:1-46:9.