scholarly journals Inner-Canthus Localization of Thermal Images in Face-View Invariant

2018 ◽  
Vol 8 (6) ◽  
pp. 2570
Author(s):  
Hurriyatul Fitriyah ◽  
Edita Rosana Widasari ◽  
Rekyan Regasari Mardi Putri
Keyword(s):  
Thermal Images ◽  
Face View

Inner-Canthus Localization of Thermal Images in Face-View Invariant

2018 ◽  
Vol 8 (6) ◽  
pp. 2570
Author(s):  
Hurriyatul Fitriyah ◽  
Edita Rosana Widasari ◽  
Rekyan Regasari Mardi Putri
Keyword(s):  
Thermal Images ◽  
Face View

scholarly journals Face Detection of Thermal Images in Various Standing Body-Pose using Facial Geometry

2020 ◽  
Vol 14 (4) ◽  
pp. 407
Author(s):  
Hurriyatul Fitriyah ◽  
Edita Rosana Widasari
Keyword(s):  
Face Detection ◽  
Golden Ratio ◽  
Processing Method ◽  
Segmentation Result ◽  
Body Parts ◽  
Shape Features ◽  
Frontal View ◽  
Thermal Images ◽  
Object Distance ◽  
Face View

 Automatic face detection in frontal view for thermal images is a primary task in a health system e.g. febrile identification or security system e.g. intruder recognition. In a daily state, the scanned person does not always stay in frontal face view. This paper develops an algorithm to identify a frontal face in various standing body-pose. The algorithm used an image processing method where first it segmented face based on human skin’s temperature. Some exposed non-face body parts could also get included in the segmentation result, hence discriminant features of a face were applied. The shape features were based on the characteristic of a frontal face, which are: (1) Size of a face, (2) facial Golden Ratio, and (3) Shape of a face is oval. The algorithm was tested on various standing body-pose that rotate 360° towards 2 meters and 4 meters camera-to-object distance. The accuracy of the algorithm on face detection in a manageable environment is 95.8%. It detected face whether the person was wearing glasses or not.

Automatic Bruise Detection in Fruits Using Thermal Images

2017 ◽  
Vol 7 (5) ◽  
pp. 727-732 ◽  
Author(s):  
Manisha Satone ◽  
◽  
Samruddhi Diwakar ◽  
Vaishnavi Joshi ◽  
◽  
...  
Keyword(s):  
Thermal Images

ALGORITHMS OF TWO-STAGE RECOVERY OF RADIO THERMAL IMAGES

2017 ◽  
Vol 59 (1) ◽  
pp. 3-9
Author(s):  
V. K. Klochko ◽  
◽  
S. M. Gudkov ◽  
Keyword(s):  
Two Stage ◽  
Thermal Images

Incidence of the Half-Left Profile Pose in Single-Subject Portraits

1995 ◽  
Vol 81 (3) ◽  
pp. 920-922 ◽  
Author(s):  
Jorge Conesa ◽  
Cynthia Brunold-Conesa ◽  
Mama Miron
Keyword(s):  
Attentional Bias ◽  
Right Hemisphere ◽  
Single Subject ◽  
Face View ◽  
Media Authorship ◽  
Full Face

The present work recorded frequencies of five poses (left profile, half-left profile, full-face view, half-right profile, and right profile) by examining 4,180 single-subject portraits of various media. Statistically significant differences were found between the incidence of half-left and half-right profiles. These differences found across media, authorship, and five centuries of portrait work are consistent with right-hemisphere activation models in attentional bias and perception of emotion.

Evaluation of the heat changes in an ancient church because of restoration works: A microclimatic study supported by thermal images

2021 ◽  
pp. 1420326X2199462
Author(s):  
Stefano Ridolfi ◽  
Susanna Crescenzi ◽  
Fabiana Zeli ◽  
Stefano Perilli ◽  
Stefano Sfarra
Keyword(s):  
Methodological Approach ◽  
Thermal Capacity ◽  
Outdoor Environment ◽  
Heat Index ◽  
Heat Sources ◽  
Thermal Images ◽  
Roof Structure ◽  
Period 2 ◽  
Microclimate Monitoring ◽  
The Church

This work is centred on an ancient Italian church. Since 2011, a restoration plan has been undertaken by following sequential phases. The methodological approach to restoration was guided by environmental monitoring campaigns. In particular, two thermo-hygrometric campaigns were carried out during the warm months of the years 2015 and 2016. The first set of measurements was executed during the restoration of facades and roofs, making it possible to reach even areas that are usually difficult to access. The second set was performed to evaluate the indoor thermo-hygrometric conditions following the work of the previous year. This was intended to assess their differences in variability, the influence of the outdoor environment and any real and perceived improvement. Results demonstrate that thermal images helped in identifying both the heat sources causing thermal discomforts and the good thermal capacity of masonries. Concerning the heat index (HI), the church showed an improvement in the trend of malaise perceived by people during the second summer period (∼2°C lower than 2015). Finally, in the last microclimate monitoring, the roof structure no longer acted as an amplifier for daily temperature excursions.

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