0375242 20240103200710.520120305235959.9 Assessment of Time-Lapse in Visible and Thermal Face Recognition 6 s. cav_un_epca*03752412010-376XProc. WASET Int'l. Conf. Machine Learning and Pattern Recognition ICMLPR'12578-583Kuala LumpurWASET2012 Face recognition Zernike moments infrared imaging cav_un_auth*0280199 Farokhi S. MY cav_un_auth*0280200 Shamsuddin S. M. MY cav_un_auth*0101087 Flusser Jan Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0280201 Sheikh U. U. MY http://library.utia.cas.cz/separaty/2012/ZOI/flusser-assessment of time-lapse in visible and thermal face recognition.pdf GAP103/11/1552 GA ČR cav_un_auth*0273618 Automatic face recognition is a challenging task due to variations in time, illumination and pose. In this paper, the influence of time-lapse on visible and thermal images is examined. Orthogonal moment invariants are used as a feature extractor to analyze the effect of time-lapse on thermal and visible images and the results are compared with conventional Principal Component Analysis. cav_un_auth*0280189 International Conference on Machine Learning and Pattern Recognition ICMLPR'12 Kuala Lumpur 19.02.2012-21.02.2012 MY 2012 JD 4 PR http://hdl.handle.net/11104/0207953 0.109 Q4 Q4 2012 cav_un_epca*0375241 Proc. WASET Int'l. Conf. Machine Learning and Pattern Recognition ICMLPR'12 2010-376X 578 583 Proc. WASET Int'l. Conf. Machine Learning and Pattern Recognition ICMLPR'12 Kuala Lumpur WASET 2012