Constraining Object Features Using a Polarization Reflectance Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Separation of Reflection Components Using Color and Polarization
International Journal of Computer Vision
New Constraints on Data-Closeness and Needle Map Consistency for Shape-from-Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring the reflectance field of a human face
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Refractive index estimation and color image rendering
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Polarization-based Inverse Rendering from a Single View
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Transparent Surface Modeling from a Pair of Polarization Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multiscale framework for blind separation of linearly mixed signals
The Journal of Machine Learning Research
Shape Estimation Using Polarization and Shading from Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-dimensional BRDF estimation from polarisation
Computer Vision and Image Understanding
A polarimetric approach to shape understanding of glossy objects
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 1
Polarization vision: a new sensory approach to image understanding
Image and Vision Computing
Robust Computation of the Polarisation Image
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Recovery of surface orientation from diffuse polarization
IEEE Transactions on Image Processing
Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
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In this paper we show how to use blind source separation to estimate shape from polarised images from a fixed viewing and illumination direction. Our method does not require prior knowledge of the polariser angles nor the refractive index. We use weighted singular vector decomposition (SVD) to estimate the unknown parameters, where the weights are dictated by the physics of polarisation. In a two-step process, we firstly use least square fitting to obtain the polariser angles, and then estimate the refractive index using a mutual information criterion function. We show that the proposed method is capable of calculating robust shape information compared with alternative approaches relying on the same input information. The proposed method can be applied when using uncalibrated polarisation filters. It can also be used effectively when the subject moves during image capture.