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3D local derivative pattern for hyperspectral face recognition
2015
2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
Traditional 2D face recognition has been studied for many years and has achieved huge success. Nonetheless, there is high demand to explore unrevealed information other than structure and texture in spatial domain in the faces. Hyperspectral imaging meets such requirements by providing additional spectrum information on objects, in completion to the traditional spatial features extracted in 2D images. In this paper, we propose a novel 3D high-order texture pattern descriptor for hyperspectral
doi:10.1109/fg.2015.7163115
dblp:conf/fgr/LiangZG15
fatcat:qyl464k6tveszapvpgag3bweau