Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Diffuse Reflection Models for Computer Vision
International Journal of Computer Vision
Polarization-based Inverse Rendering from a Single View
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Estimating the surface radiance function from single images
Graphical Models - Special issue: Vision and computer graphics
Surface radiance correction for shape from shading
Pattern Recognition
Recovery of surface orientation from diffuse polarization
IEEE Transactions on Image Processing
Hi-index | 0.00 |
This paper presents a new approach to image-based reflectance function estimation. The method first uses Fresnel theory for reflection and polarization analysis to estimate the surface orientation for each image pixel from a single view. The method is confined to the case where the light source and camera lie in the same direction from the target. A 2D histogram of surface zenith angles and pixel intensities is then calculated. This histogram is processed using a robust and computationally efficient statistical analysis. Histogram data are fitted to probability density functions to deduce the reflectance function. Objects of varying complexity and material are analysed and compared to ground truth.