Data and downloads
Here are some links to resources that you might find useful.
Hyperspectral Images of Real-World Scenes
This is a database of fifty hyperspectral images of indoor and outdoor scenes under daylight illumination, and an additional twenty-five images under artificial and mixed illumination. The images were captured using a commercial hyperspectral camera (Nuance FX, CRI Inc), and have thirty-one spectral samples at each pixel, corresponding to 10nm wavelength bands from 420-720nm.
Measured Isotropic BRDFs
The MERL BRDF database contains reflectance functions of 100 different materials.Each reflectance function is stored as a densely measured Bidirectional Reflectance Distribution Function (BRDF).
MERL provides this data only for research or academic use. Sample code to read the data is included with the database. Note that parameterization of theta-half has changed.
Experimental Analysis of BRDF Models
This document is supplemental to the paper titled Experimental Analysis of BRDF Models, published at Eurographics Symposium on Rendering 2005. In the following section we list the equations for the BRDF models employed in our isotropic analysis. The rest of the document contains complete fitting results for the 100 isotropic materials, together with BRDF plots in the incidence plane, and sample images.
Camera Database for Internet Color Vision
The Middlebury color database contains images from 35 consumer cameras, featuring registered images of two color checker charts under various illumination and exposure/white-balance settings, as well as registered RAW/JPEG image pairs of general scenes. The database aims to further the study of color processing pipelines in consumer cameras.
Measured Anisotropic BRDFs
The Bidirectional Reflectance Distribution Function (BRDF) describes the appearance of a material by its interaction with light at a surface point. A variety of analytical models have been proposed to represent BRDFs. However, analysis of these models has been scarce due to the lack of high-resolution measured data. In this work we evaluate several well-known analytical models in