Mesostructure from specularity using coded illumination
ACM SIGGRAPH 2007 sketches
Fluorescent immersion range scanning
ACM SIGGRAPH 2008 papers
Mesostructure from specularity using gradient illumination
PROCAMS '08 Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
Cheaply capturing normal maps from coins
ACM SIGGRAPH 2008 posters
A photometric approach for estimating normals and tangents
ACM SIGGRAPH Asia 2008 papers
Segmentation using Appearance of Mesostructure Roughness
International Journal of Computer Vision
Gloss and Normal Map Acquisition of Mesostructures Using Gray Codes
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
High-quality single-shot capture of facial geometry
ACM SIGGRAPH 2010 papers
ACM SIGGRAPH 2011 papers
Microgeometry capture using an elastomeric sensor
ACM SIGGRAPH 2011 papers
Sketch-based warping of RGBN images
Graphical Models
Estimating dual-scale properties of glossy surfaces from step-edge lighting
Proceedings of the 2011 SIGGRAPH Asia Conference
Procedural modeling of leather texture with structural elements
NPH'09 Proceedings of the Fifth Eurographics conference on Natural Phenomena
Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Procedural editing of bidirectional texture functions
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
High resolution acquisition of detailed surfaces with lens-shifted structured light
VAST'10 Proceedings of the 11th International conference on Virtual Reality, Archaeology and Cultural Heritage
Acquiring reflectance and shape from continuous spherical harmonic illumination
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Practical SVBRDF capture in the frequency domain
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
A new projection space for separation of specular-diffuse reflection components in color images
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
| Hi-index | 0.00 |
We describe a simple and robust method for surface mesostructure acquisition. Our method builds on the observation that specular reflection is a reliable visual cue for surface mesostructure perception. In contrast to most photometric stereo methods, which take specularities as outliers and discard them, we propose a progressive acquisition system that captures a dense specularity field as the only information for mesostructure reconstruction. Our method can efficiently recover surfaces with fine-scale geometric details from complex real-world objects with a wide variety of reflection properties, including translucent, low albedo, and highly specular objects. We show results for a variety of objects including human skin, dried apricot, orange, jelly candy, black leather and dark chocolate.