JOURNAL ARTICLE

Photometric stereo with auto-radiometric calibration

Abstract

We propose a novel method for estimating surface normals and a radiometric response function of a camera at the same time. Photometric stereo assumes that a camera is radiometrically calibrated in advance, so that image irradiance values can be determined from observed pixel values. Our proposed method avoids such often cumbersome radiometric calibration of a camera by the simultaneous estimation of surface normals and a radiometric response function. The key idea of our method is to make use of the consistency; the irradiance values converted from pixel values by using the radiometric response function should be equal to the corresponding irradiance values calculated from the surface normals. We show that the simultaneous estimation results in a linear least-square problem with linear constraints. The experimental results demonstrate that our method can estimate surface normals accurately even when images are captured by using cameras with nonlinear radiometric response functions.

Keywords:
Radiometric calibration Irradiance Pixel Radiometry Calibration Remote sensing Consistency (knowledge bases) Computer vision Photometric stereo Computer science Artificial intelligence Radiometric dating Optics Mathematics Image (mathematics) Physics Geology Statistics

Metrics

2
Cited By
0.26
FWCI (Field Weighted Citation Impact)
29
Refs
0.58
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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