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Abstrakty
This paper presents an algorithm for determination of the head centre in thermograms. The paper includes a comparison of the method developed by the authors with the known methods presented in the literature for locating the head in thermal images. The proposed method enables automatic localization of the head centre, which is essential for practical applications when there is a need to locate the head in an image. Application areas may include the process of face recognition in biometrics, recognition of emotions, the creation of a human–computer interface. The presented method is reproducible and enables to obtain correct results in cases of large interindividual variability of the test subjects.
Wydawca
Czasopismo
Rocznik
Tom
Strony
138--146
Opis fizyczny
Bibliogr. 14 poz., rys., tab., wykr.
Twórcy
autor
- Department of Computer Biomedical Systems, University of Silesia, Institute of Computer Science, ul. Będzińska 39, 41-200 Sosnowiec
autor
- Department of Computer Biomedical Systems, University of Silesia, Institute of Computer Science, ul. Będzińska 39, 41-200 Sosnowiec
autor
- Department of Computer Biomedical Systems, University of Silesia, Institute of Computer Science, ul. Będzińska 39, 41-200 Sosnowiec
Bibliografia
- [1] Beigzadeh M, Mafadoost M. Detection of face and facial features in digital images and video frames. Biomedical Engineering Conference, CIBEC. Cairo International 2008, pp. 1–4.
- [2] Chan YH, Abu-Bakar SAR. Face detection system based on feature-based chrominance color information. Proceedings of the International Conference on Computer Graphics, Imaging and Visualization (CGIV'04) 2004, pp. 153–8.
- [3] Cho S, Wang L, Ong W. Thermal imprint feature analysis for face recognition. IEEE International Symposium on Industrial Electronics 2009, pp. 1875–80.
- [4] Eveland ChK, Socolinsky DA, Wolff LB. Tracking human faces in infrared video. Image Vision Comput 2003; 21(7):579–90.
- [5] Filipe S, Alexandre LA. Thermal infrared face segmentation: a new pose invariant method. 6th Iberian Conference on Pattern Recognition and Image Analysis. Springer, Lecture Note Series in Computer Science (LNCS) 2013, pp. 632–9.
- [6] Guangda H, Cheng SDu. Feature points extraction from faces. Beijing, China: Research Institute of Image and Graphics, Department of Electronic Engineering, Tsinghua University 2003, pp. 154–8.
- [7] Hsu RL, Abdel-Mottaleb M, Jain AK. Face detection in color images. IEEE Pattern Anal Mach Intell 2002;24:696–706.
- [8] Kong SG, Heo J, Abidi BR, Paik J, Abidi MA. Recent advances in visual and infrared face recognition – a review. J Comp Vis Image Understand 2005;97:103–35.
- [9] Koprowski R, Wojaczyńska-Stanek K, Wróbel Z. Automatic segmentation of characteristic areas of the human head on thermographic images. Mach Graph Vis 2007;16(3/4): 251–74.
- [10] Marzec M, Koprowski R, Wróbel Z. Automatic temperature measurement on thermograms for headache diagnosis (in Polish). Pomiary Automatyka Kontrola 2009;55(11): 923–6.
- [11] Marzec M, Koprowski R, Wróbel Z. Detection of selected face areas on thermograms with elimination of typical problems. J Med Inf Technol 2010;16:151–9.
- [12] Ring K, Ammer, Jung A, Murawski P, Więcek B, Żuber J, et al. Standardization of infrared imaging. 26th Annual International Conference of the IEEE Engineering in Medicine & Biology Society 2004, p. 1183.
- [13] Sohail ASM, Bhattacharya P. Detection of facial feature points using anthropometric face model. IEEE International Conference on Signal-Image Technology and Internet- Based Systems. Springer, Lecture Note Series in Computer Science (LNCS) 2006, pp. 656–65.
- [14] Trujillo L, Olague G, Hammoud R, Hernandez B. Automatic feature localization in thermal images for facial expression recognition. Computer Vision and Pattern Recognition – Workshops, IEEE Computer Society Conference 2005, pp. 14–21.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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