Preliminary experiments on thermal emissivity adjustment for face images
This work provides a practical dataset for researchers in thermal imaging, but it is incremental as it builds on existing knowledge without major breakthroughs.
The paper addresses the problem of inaccurate temperature measurement in thermal imaging by introducing a dataset of face images with varying emissivity values, enabling applications such as emissivity correction, privacy protection, and improved temperature detection.
In this paper we summarize several applications based on thermal imaging. We emphasize the importance of emissivity adjustment for a proper temperature measurement. A new set of face images acquired at different emissivity values with steps of 0.01 is also presented and will be distributed for free for research purposes. Among the utilities, we can mention: a) the possibility to apply corrections once an image is acquired with a wrong emissivity value and it is not possible to acquire a new one; b) privacy protection in thermal images, which can be obtained with a low emissivity factor, which is still suitable for several applications, but hides the identity of a user; c) image processing for improving temperature detection in scenes containing objects of different emissivity.