[其它] [ SIGGRAPH 2011+Technical Papers ]Capturing Geometry and Appearance

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发表于 2011-9-8 13:57:46 |只看该作者 |倒序浏览

Capturing Geometry and Appearance

Tuesday, 9 August 9:00 am - 10:30 am | East Building, Exhibit Hall A

Session Chair: Marc Levoy, Stanford University

Building Volumetric Appearance Models of Fabric Using Micro CT Imaging
This paper builds volume-appearance models based on density data from X-ray computed tomography (CT) scans and appearance data from photographs under uncontrolled illumination. The resulting models show extreme detail in closeups, while at larger scales the distinctive textures and highlights of a range of fabrics emerge automatically.
Shuang Zhao

Cornell University
Wenzel Jakob

Cornell University
Steve Marschner

Cornell University
Kavita Bala

Cornell University

Pocket Reflectometry
A simple, fast solution for reflectance acquisition with a BRDF chart, a linear light source, and a video camera on a mobile phone. Convincing svBRDF results are obtained after less than 30 seconds of data capture in casual environments.
Peiran Ren

Tsinghua University
Jiaping Wang

Microsoft Research Asia
John Snyder

Microsoft Research
Xin Tong

Microsoft Research Asia
Baining Guo

Microsoft Research Asia

Microgeometry Capture Using an Elastomeric Sensor
This paper describes a system for measuring microscopic surface geometry using an elastomeric sensor and a single camera. The system is not affected by the optical characteristics of the surface and can be configured as a portable device. Results from a variety of real-world materials are presented.
Micah Johnson

Massachusetts Institute of Technology
Forrester Cole

Massachusetts Institute of Technology
Alvin Raj

Massachusetts Institute of Technology
Edward Adelson

Massachusetts Institute of Technology

CATRA: Interactive Measuring and Modeling of Cataracts
A novel interactive method to assess cataracts in the human eye by crafting an optical solution that measures the perceptual impact of forward scattering on the foveal region. The method goes beyond traditional evaluation procedures by computing maps for opacity, attenuation, contrast, and point-spread function of cataracts.
Vitor F. Pamplona

MIT Media Lab and Universidade Federal do Rio Grande do Sul
Erick B. Passos

MIT Media Lab and Universidade Federal Fluminense
Jan Zizka

MIT Media Lab and Comenius University
Manuel M. Oliveira

Universidade Federal do Rio Grande do Sul
Matthew Everett Lawson

MIT Media Lab
Esteban Clua

Universidade Federal Fluminense
Ramesh Raskar

MIT Media Lab