Technical Papers

Materials

Wednesday, 24 July 2:00 PM - 3:30 PM
Session Chair: Szymon Rusinkiewicz, Princeton University

A Practical Microcylinder Appearance Model for Cloth Rendering

A practical shading model for rendering cloth that can simulate both anisotropic highlights and the complex color shifts seen in cloth made of different colored threads. The model is based on extensive Bidirectional Reflectance Distribution Function (BRDF) measurements of several cloth samples.

Iman Sadeghi
University of California, San Diego

Oleg Bisker
Canfield Scientific, Inc.

Joachim De Deken
Pixar Animation Studios

Henrik Wann Jensen
University of California, San Diego

Acquiring Reflectance and Shape From Continuous Spherical Harmonic Illumination

A new reflectance measurement and 3D scanning technique uses a rotating arc of light and long-exposure photography to illuminate an object with spherical harmonic illumination and estimate maps from multiple viewpoints. The responses yield estimates of diffuse and specular reflectance parameters and 3D geometry.

Borom Tunwattanapong
USC Institute for Creative Technologies

Graham Fyffe
USC Institute for Creative Technologies

Paul Graham
USC Institute for Creative Technologies

Jay Busch
USC Institute for Creative Technologies

Xueming Yu
USC Institute for Creative Technologies

Abhijeet Ghosh
Imperial College London

Paul Debevec
USC Institute for Creative Technologies

Practical SVBRDF Capture in the Frequency Domain

This novel method to acquire the SVBRDF of near-planar objects using commodity hardware is the first to produce consistent normals and reflectance for both diffuse and specular surfaces using a pervasively available capture system.

Miika Aittala
Aalto University, NVIDIA Research

Tim Weyrich
University College London

Jaakko Lehtinen
NVIDIA Research, Aalto University

OpenSurfaces: A Richly Annotated Catalog of Surface Appearance

OpenSurfaces is a large database of thousands of annotated surfaces created from real-world consumer photographs. Its annotation pipeline draws on crowdsourcing to segment surfaces from photos, and then annotates them with rich surface-appearance properties, including material, texture, and contextual information.

Sean Bell
Cornell University

Paul Upchurch
Cornell University

Noah Snavely
Cornell University

Kavita Bala
Cornell University