Measuring and modeling anisotropic reflection
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
A Reflectance Model for Computer Graphics
ACM Transactions on Graphics (TOG)
A data-driven reflectance model
ACM SIGGRAPH 2003 Papers
Incorporating the Torrance and Sparrow Model of Reflectance in Uncalibrated Photometric Stereo
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Shapelets Correlated with Surface Normals Produce Surfaces
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Median Photometric Stereo as Applied to the Segonko Tumulus and Museum Objects
International Journal of Computer Vision
Photometric Stereo via Expectation Maximization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and Spatially-Varying BRDFs from Photometric Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust photometric stereo via low-rank matrix completion and recovery
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
The Geometry of Reflectance Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
A theory of differential photometric stereo for unknown isotropic BRDFs
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A biquadratic reflectance model for radiometric image analysis
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
What an image reveals about material reflectance
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Relighting human locomotion with flowed reflectance fields
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
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This paper exploits the monotonicity of general isotropic reflectances for estimating elevation angles of surface normal given the azimuth angles. With an assumption that the reflectance includes at least one lobe that is a monotonic function of the angle between the surface normal and half-vector (bisector of lighting and viewing directions), we prove that elevation angles can be uniquely determined when the surface is observed under varying directional lights densely and uniformly distributed over the hemisphere. We evaluate our method by experiments using synthetic and real data to show its wide applicability, even when the assumption does not strictly hold. By combining an existing method for azimuth angle estimation, our method derives complete surface normal estimates for general isotropic reflectances.