Robust regression and outlier detection
Robust regression and outlier detection
Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination for computer generated pictures
Communications of the ACM
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appying Shape from Lighting Variation to Bump Map Capture
Proceedings of the Eurographics Workshop on Rendering Techniques '97
Shape and albedo from multiple images using integrability
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
Performance relighting and reflectance transformation with time-multiplexed illumination
ACM SIGGRAPH 2005 Papers
Inverse shade trees for non-parametric material representation and editing
ACM SIGGRAPH 2006 Papers
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-based rendering from a sparse set of images
SIGGRAPH '05 ACM SIGGRAPH 2005 Sketches
A photometric approach for estimating normals and tangents
ACM SIGGRAPH Asia 2008 papers
Shadows in Three-Source Photometric Stereo
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Visibility subspaces: uncalibrated photometric stereo with shadows
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
Smooth reconstruction and compact representation of reflectance functions for image-based relighting
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
New reflection transformation imaging methods for rock art and multiple-viewpoint display
VAST'06 Proceedings of the 7th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Robust luminance and chromaticity for matte regression in polynomial texture mapping
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
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The Polynomial Texture Map framework (PTM) extends the simple model of image formation from the Lambertian variant of Photometric Stereo (PST) to more general reflectances and to more complex-shaped surfaces. It forms an alternative method for apprehending object color, albedo, and surface normals. Here we consider solving such a model in a robust version, not to date attempted for PTM, with the upshot that both shadows and specularities are identified automatically without the need for any thresholds. Instead of the linear model used in few-source PST for Lambertian surfaces, PTM adopts a higher degree polynomial model. PTM has two aims: interpolation of images for new lighting directions, and recovery of surface properties. Here we show that a robust approach is a good deal more accurate in recovering surface properties. For new-lighting interpolation, we demonstrate that a simple radial basis function interpolation can accurately interpolate specularities as well as attached and cast shadows even with a medium-sized image set, with no need for reflectance sharing across pixels or extremely large numbers of interpolation coefficients.