Abstract
This paper presents a method for automatic segmentation of images of faces captured in (LWIR), allowing a wide range of face rotations, expressions and artifacts (such as glasses and hats). The paper presents a novel high accurate approach and compares its performance against three other previously published methods. The proposed approach is based on statistical modeling of pixel intensities and active contour application, although several other image processing operations are also performed. Experiments were performed on a total of 699 test images from three public available databases. The obtained results improve on previous existing methods up to 29.5% for the first measure error (E 1) and up to 34.7% for the second measure (E 2), depending on the method and database.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kong, S., Heo, J., Abidi, B., Paik, J., Abidi, M.: Recent advances in visual and infrared face recognition - a review. Computer Vision and Image Understanding 97(1), 103–135 (2005)
Gyaourova, A., Bebis, G., Pavlidis, I.: Fusion of infrared and visible images for face recognition. In: Pajdla, T., Matas, J. (eds.) ECCV 2004, Part IV. LNCS, vol. 3024, pp. 456–468. Springer, Heidelberg (2004)
Pavlidis, I., Tsiamyrtzis, P., Manohar, C., Buddharaju, P.: Biometrics: Face recognition in thermal infrared. In: Biomedical Engineering Handbook, 3rd edn., pp. 1–15. CRC Press (2006)
Cho, S., Wang, L., Ong, W.: Thermal imprint feature analysis for face recognition. In: IEEE International Symposium on Industrial Electronics, pp. 1875–1880 (2009)
Filipe, S., Alexandre, L.A.: Improving Face Segmentation in Thermograms Using Image Signatures. In: Bloch, I., Cesar Jr., R.M. (eds.) CIARP 2010. LNCS, vol. 6419, pp. 402–409. Springer, Heidelberg (2010)
Canny, J.: A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8(6), 628–633 (1986)
Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Transactions on Image Processing 10(2), 266–277 (2001)
Chen, X., Flynn, P., Bowyer, K.: IR and visible light face recognition. Computer Vision and Image Understanding 99, 332–358 (2005)
Miezianko, R.: Terravic Research Infrared Database (2006), http://www.cse.ohio-state.edu/otcbvs-bench/
Abidi, B.: IRIS Thermal/Visible Face Database. DOE University Research Program in Robotics under grant DOE-DE-FG02-86NE37968 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Filipe, S., Alexandre, L.A. (2013). Thermal Infrared Face Segmentation: A New Pose Invariant Method. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_75
Download citation
DOI: https://doi.org/10.1007/978-3-642-38628-2_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38627-5
Online ISBN: 978-3-642-38628-2
eBook Packages: Computer ScienceComputer Science (R0)