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

Hurriyatul Fitriyah, Edita Rosana Widasari, Rekyan Regasari Mardi Putri


Inner-canthus localization has played an essential role in measuring human body temperature. This is due to the theory that human core body temperature can be measured in the inner-canthus. Such measurement is useful for mass screening since it is non-contact, non-invasive and fast. This paper presents an algorithm that has been developed to locate the inner-canthus. The algorithm proposed a robust method in various face-view, i.e., frontal, sided and tilted. The algorithm consisted of: face segmentation, determining face-orientation, rotating face into straight view, eye localization, and inner-canthus localization. The face segmentation used human temperature threshold of 34°C — the face orientation used trend line of a middle point between each most-bottom and most-top coordinates. The face rotation was based on the gradient of the trend line. Once the face is rotated, the eye location was determined using facial proportion. The inner-canthus location was determined as the highest intensities in the eye-frame. The test on 15 thermal images of faces with various view showed localization accuracy of 80% for eye-frame determination and 100% for inner-canthus localization.


inner-canthus; thermal images; human body temperature; invariant.

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S. Kumar, C. Chandra C. “Supply Chain Disruption by Avian flu pandemic for U.S. companies: a case study,†IEEE Eng. Management Rev, vol. 44, pp. 65-73, 2016.

S. Marui, A. Misawa, Y. Tanaka, K. Nagashima. “Assessment of Axillary Temperature for the Evaluation of Normal Body Temperature of Healthy Young Adults at Rest in a Thermoneutral Environment.†Jour. of Physiological Anthropology. Vol. 36 (18), 2017.

K.M. Gostic, A.J. Kucharski, J.O. Lloyd-Smith. “Effectiveness of Traveller Screening for Emerging Pathogens Is Shaped by Epidemiology and Natural History of Infection.†Ed. S.I. Hay. eLife, vol. 4, 2015

Y. Nakayama, G. Sun, S. Abe, “Non-contact Measurement of Respiratory and Heart Rates using CMOS Camera-equipped Infrared Camera for Prompt Infection Screening at Airport Quarantine Stations,†in Proc. IEEE Int. Conf. on Comp. Intelligence and Virtual Env. for Measurement Syst. and App, 2015.

L.A. Selvey, C. Antão, R. Hall R. “Evaluation of Border Entry Screening for Infectious Diseases in Humans.†Emerg Infect Dis. Vol. 21(2), pp. 197-201, 2015.

R. Vardasca, A.R. Marques, J. Diz, A. Seixas, J. Mendes, E.F.J. Ring, (2017). “The Influence of Angle and Distance on Temperature Readings from the Inner-Canthi of the Eye.†Thermology Int., vol. 27, pp. 130-135. 2017.

IEC 80601-2-59: Particular Requirements for the Basic Safety and Essential Performance of Screening Thermographs for Human Febrile Temperature Screening, International Electrotechnical Commission (IEC)/International Organization for Standardization (ISO), 2017.

S. Budzan, R.Wyzgolik, “Face and Eyes Localization Algorithm in Thermal Images for Temperature Measurement of the Inner Canthus of the Eyes,†Infrared Phys. and Tech. Jour., vol. 60(1), pp. 225-234, 2013.

T. Y. Su et al., “Noncontact detection of dry eye using a custom designed infrared thermal image system,†J. Biomed. Opt., vol. 16, no. 4, p. 46009, 2011.

E.G., Zahran, A.M. Abbas, M.I. Dessouky, M.A. Ashour, K.A. Sharshar, “Performance Analysis of infrared face recognition using PCA and ZM,†in Proc. IEEE ICCES, 2009.

B. Amanda, “Detection and Tracking in Thermal Infrared Imagery,†Thesis, Linköping University, Linköping, Sweden, 2016.

N.I.N. Ishak, J.M. Desa, W.W. Kit, L.H.Siong, ‘Fuzzy Logic Base Viola Jones Fever Detection Method in Thermal Imaging Systemâ€, in Proc. IISRO, 2013

Y.N. Dwith Chenna, P. Ghassemi, T.J. Pfefer, J. Casamento, Q. Wang, “Free-Form Deformation Approach for Registration of Visible and Infrared Facial Images in Fever Screening.†Sensors. Vol. 18 (125), 2018.

J.P. Batista. â€Locating Facial Features Using an Anthropometric Face Model for Determining the Gaze of Faces in Image Sequences.†ICIAR, LNCS 4633, pp. 839-853, 2007.

N. Zaeri, “Pose Invariant Thermal Face Recognition Using AMI Moments,†in Proc. UKSim-AMSS 18th Int. Conf. on Comp. Model. and Sim., 2016

Z. Wu, M. Peng, T. Chen, "Thermal Face Recognition using Convolutional Neural Network," in Proc. Int. Conf. on Optoelectronics and Image Process. (ICOIP), 2016.

D. Dervinis, "Head Orientation Estimation using Characteristic Points of Face," Elektronika in Elektrotechnika, vol. 8(72), pp. 61-64, 2006

C.Xui, Y. Zheng, Z. Wang, “Semantic feature Extraction for Accurate Eye Corner Direction,†in. Proc. ICPR, 2008.

Anthropometry and Biomechanics, Man-System Integration Standard, Vol. 1 Section 3., NASA-STD-3000, Revision B, 1995.

P.M. Prendergast, Facial Proportions, ser. Advanced Surgical Facial Rejuvenation, Berlin: Germany, Springer, 2012.



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