3 research outputs found
Inner Eye Canthus Localization for Human Body Temperature Screening
In this paper, we propose an automatic approach for localizing the inner eye
canthus in thermal face images. We first coarsely detect 5 facial keypoints
corresponding to the center of the eyes, the nosetip and the ears. Then we
compute a sparse 2D-3D points correspondence using a 3D Morphable Face Model
(3DMM). This correspondence is used to project the entire 3D face onto the
image, and subsequently locate the inner eye canthus. Detecting this location
allows to obtain the most precise body temperature measurement for a person
using a thermal camera. We evaluated the approach on a thermal face dataset
provided with manually annotated landmarks. However, such manual annotations
are normally conceived to identify facial parts such as eyes, nose and mouth,
and are not specifically tailored for localizing the eye canthus region. As
additional contribution, we enrich the original dataset by using the annotated
landmarks to deform and project the 3DMM onto the images. Then, by manually
selecting a small region corresponding to the eye canthus, we enrich the
dataset with additional annotations. By using the manual landmarks, we ensure
the correctness of the 3DMM projection, which can be used as ground-truth for
future evaluations. Moreover, we supply the dataset with the 3D head poses and
per-point visibility masks for detecting self-occlusions. The data will be
publicly released
Facial Thermal and Blood Perfusion Patterns of Human Emotions: Proof-of-Concept
In this work, a preliminary study of proof-of-concept was conducted to
evaluate the performance of the thermographic and blood perfusion data when
emotions of positive and negative valence are applied, where the blood
perfusion data are obtained from the thermographic data. The images were
obtained for baseline, positive, and negative valence according to the protocol
of the Geneva Affective Picture Database. Absolute and percentage differences
of average values of the data between the valences and the baseline were
calculated for different regions of interest (forehead, periorbital eyes,
cheeks, nose and upper lips). For negative valence, a decrease in temperature
and blood perfusion was observed in the regions of interest, and the effect was
greater on the left side than on the right side. In positive valence, the
temperature and blood perfusion increased in some cases, showing a complex
pattern. The temperature and perfusion of the nose was reduced for both
valences, which is indicative of the arousal dimension. The blood perfusion
images were found to be greater contrast; the percentage differences in the
blood perfusion images are greater than those obtained in thermographic images.
Moreover, the blood perfusion images, and vasomotor answer are consistent,
therefore, they can be a better biomarker than thermographic analysis in
identifying emotions.Comment: 22 pages, 9 figure