Design of an image-based BRDF measurement method using a catadioptric multispectral capture and a real-time Lambert calibration

Yue Yuan, Ruoduan Sun, Chen Xu, Shining Ma, Yue Liu, Yongtian Wang, Weitao Song*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

By utilizing a catadioptric system and a calibration Lambertian sample, a compact measurement method of bidirectional reflectance distribution function (BRDF) has been proposed for rapid and accurate measurement. With the help of an ellipsoidal dome mirror, a hyperboloid mirror, and a high-resolution camera, spatial reflectance distributions from reflected directions with a large field of view (FOV) can be obtained. The built-in Lambertian standard allows for real-time calibration to account for fluctuations in the illumination spectrum, effectively reducing the measurement drift and achieving a high accuracy. Moreover, a multispectral camera captures images at 8 spectral bands for accurate spectral color reconstruction from different directions. To verify the method, a prototype capable of fast, high-resolution measurements with a large FOV has been developed for characterizing the scattering properties of objects. It achieves a measured angular range up to 160°. Multispectral BRDF data for each sample can be obtained within 5 minutes with an angular resolution of less than 0.6°. Eight ceramic samples with different colors were selected for the verification of measurement accuracy, and their mean relative bias of BRDF measurement was found to be as low as 2.5%.

Original languageEnglish
Pages (from-to)425-443
Number of pages19
JournalOptics Express
Volume32
Issue number1
DOIs
Publication statusPublished - 10 Jan 2024

Fingerprint

Dive into the research topics of 'Design of an image-based BRDF measurement method using a catadioptric multispectral capture and a real-time Lambert calibration'. Together they form a unique fingerprint.

Cite this