A sequential weighted nonlinear regression technique from digital camera responses is
proposed for spectral reflectance estimation. The method consists of two stages taking …

This paper explores hyperspectral reflectance factor estimation using Gaussian process
regression with multispectral-and trichromatic measurements. Estimations are performed in …

Hyperspectral reflectance factor image estimations were performed in the 400–700 nm
wavelength range using a portable consumer-level laptop display as an adjustable light …

The accuracy of recovered spectra from camera responses mainly depends on the spectral
estimation algorithm used, the camera and filters selected, and the light source used to …

Utilization of contextual information on the hyperspectral image (HSI) analysis is an
important fact. On the other hand, multiple kernels (MKs) and hybrid kernels (HKs) in …

ABSTRACT A spectral imaging system includes a spectrometer and an optics imaging
system. The spectrometer is operable for generating spectral signatures of objects from a …

The intangible cultural heritage of Yangjiabu New Year woodblock paintings (YNYWPs) has
numerous potential cultural, artistic, and economic values. The quantitative color …

Light spectra are a very important source of information for diverse classification problems,
eg, for discrimination of materials. To lower the cost of acquiring this information …

Estimating spectral reflectance has attracted extensive research efforts in color science and
machine learning, motivated through a wide range of applications. In many practical …

A research project is underway to develop a gonio imager particularly dedicated to sample
the Bidirectional Reflectance Distribution Function (BRDF) of materials and material …