  Acupuncture is a technique in which practitioners stimulate specific points
on the body. Those points, called acupuncture points (or acupoints),
anatomically define areas on the skin relative to specific landmarks on the
body. However, mapping the acupoints to individuals could be challenging for
inexperienced acupuncturists. In this project, we proposed a system to localize
and visualize facial acupoints for individuals in an augmented reality (AR)
context. This system combines a face alignment model and a hair segmentation
model to provide dense reference points for acupoints localization in real-time
(60FPS). The localization process takes the proportional bone (B-cun or
skeletal) measurement method, which is commonly operated by specialists;
however, in the real practice, operators sometimes find it inaccurate due to
skill-related error. With this system, users, even without any skills, can
locate the facial acupoints as a part of the self-training or self-treatment
process.
