Micro-cameras such as the 'vision-in-package' (VIP) can be used as a wearable for user-centric glare estimations. Yet, there is a lack of methodologies to use such head-mounted device and their outputs to obtain reliable glare evaluations. This paper focuses proposes a methodology for dynamic glare evaluation based on wearable micro-cameras. The methodology involves a novel image rotation algorithm and pixel overflow correction based the solar disk luminance measured using an HDR camera. We tested the methodology during an experiment where 21 participants were exposed to direct sunlight in an office-like set-up in Lausanne, Switzerland. For our dataset, the pixel overflow correction avoids an underestimation of the DGP metric in 94.8% of the cases. These corrections appear crucial for the correct estimation of glare using wearable VIP cameras.