Inverse shade trees for non-parametric material representation and editing
ACM SIGGRAPH 2006 Papers
Dense Photometric Stereo: A Markov Random Field Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Seeing People in Different Light-Joint Shape, Motion, and Reflectance Capture
IEEE Transactions on Visualization and Computer Graphics
Multiplexing for Optimal Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
ShapePalettes: interactive normal transfer via sketching
ACM SIGGRAPH 2007 papers
AppWand: editing measured materials using appearance-driven optimization
ACM SIGGRAPH 2007 papers
Modeling anisotropic surface reflectance with example-based microfacet synthesis
ACM SIGGRAPH 2008 papers
Recovering surface reflectance and multiple light locations and intensities from image data
Pattern Recognition Letters
Mesostructure from specularity using gradient illumination
PROCAMS '08 Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
Principles of appearance acquisition and representation
ACM SIGGRAPH 2008 classes
A photometric approach for estimating normals and tangents
ACM SIGGRAPH Asia 2008 papers
Printing spatially-varying reflectance
ACM SIGGRAPH Asia 2009 papers
Reconstruction of shape and reflectance properties based on visual hull
Proceedings of the 2009 Computer Graphics International Conference
Principles of Appearance Acquisition and Representation
Foundations and Trends® in Computer Graphics and Vision
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
International Journal of Computer Vision
Median Photometric Stereo as Applied to the Segonko Tumulus and Museum Objects
International Journal of Computer Vision
Spatio-temporal reflectance sharing for relightable 3D video
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Manifold bootstrapping for SVBRDF capture
ACM SIGGRAPH 2010 papers
A coaxial optical scanner for synchronous acquisition of 3D geometry and surface reflectance
ACM SIGGRAPH 2010 papers
Non-Photorealistic Rendering and the science of art
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
Circularly polarized spherical illumination reflectometry
ACM SIGGRAPH Asia 2010 papers
Photometric stereo from maximum feasible Lambertian reflections
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
ACM SIGGRAPH 2011 papers
Microgeometry capture using an elastomeric sensor
ACM SIGGRAPH 2011 papers
Proceedings of the 2011 SIGGRAPH Asia Conference
The 4-source photometric stereo under general unknown lighting
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Translational photometric alignment of single-view image sequences
Computer Vision and Image Understanding
Surface reflectance and normal estimation from photometric stereo
Computer Vision and Image Understanding
Estimating specular roughness and anisotropy from second order spherical gradient illumination
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
Efficient basis decomposition for scattered reflectance data
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Extracting realistic textures from reference spheres
ICEC'07 Proceedings of the 6th international conference on Entertainment Computing
Removing the example from example-based photometric stereo
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Practical SVBRDF capture in the frequency domain
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
An empirical study on the effects of translucency on photometric stereo
The Visual Computer: International Journal of Computer Graphics
Efficient reconstruction, decomposition and editing for spatially-varying reflectance data
Proceedings of Graphics Interface 2013
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This paper describes a photometric stereo method designed for surfaces with spatially-varying BRDFs, including surfaces with both varying diffuse and specular properties. Our method builds on the observation that most objects are composed of a small number of fundamental materials. This approach recovers not only the shape but also material BRDFs and weight maps, yielding compelling results for a wide variety of objects. We also show examples of interactive lighting and editing operations made possible by our method.