]> 2026-04-04T09:10:25+02:00 Cross-Spectrum Ocular Identity Recognition via Deep Learning 0 en Master Cross-Spectrum Ocular Identity Recognition via Deep Learning Good knowledge of applied mathematics, signal and image processing, and machine learning. Programming skills (preferably Matlab). R. Jillela and A. Ross, "Matching face against iris images using periocular information," 2014 IEEE International Conference on Image Processing (ICIP), Paris, 2014, pp. 4997-5001. doi: 10.1109/ICIP.2014.7026012: https://ieeexplore.ieee.org/document/7026012 P. R. Nalla and A. Kumar, "Toward More Accurate Iris Recognition Using Cross-Spectral Matching," in IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 208-221, Jan. 2017. doi: 10.1109/TIP.2016.2616281: https://ieeexplore.ieee.org/document/7587438 Open Winter 2018, Spring 2019 Cross-Spectrum Ocular Identity Recognition via Deep Learning 2018-10-11T18:36:17Z 2458403.2751968 Cross-Spectrum Ocular Identity Recognition via Deep Learning 0 [2,"smw-datavalue-property-restricted-annotation-use","Keywords"] Cross-Spectrum Ocular Identity Recognition via Deep Learning# ERRd9c33d5ac8a89308063e13c4b212fa7c