Hyper-Skin

Hyper-Skin is a dataset containing the human facial skin image captured by hyperspectral camera. It covers a wide spectral range from visible (VIS) to near-infrared (NIR) spectra, allowing for a holistic understanding of various aspects of human facial skin. The dataset includes 306 hyperspectral cubes captured from 51 subjects (51 subjects * 6 images (neutral: {front, left, right}, smile: {front, left, right})), featuring diverse facial poses and angles. Each hyperspectral cube with spatial resolution of 1024 x 1024 contains 1,048,576 spectra of length 448, providing a rich and detailed representation of skin properties. The 448-bands data is resampled into two 31-band datasets: one covering the visible spectrum from 400nm to 700nm, and the other covering the near-infrared spectrum from 700nm to 1000nm. Additionally, synthetic RGB and Multispectral (MSI) data are generated, comprising RGB images and an infrared image at 960nm. These steps result in the creation of our Hyper-Skin dataset, encompassing two types of data: (RGB, VIS) and (MSI, NIR). Note that part of the dataset, specifically the dataset with synthetic RGB generated from CIE color function, was used in the ICASSP2024 Grand Challenge.