Appearance Representation

Tuesday, 1 August
1:45 - 3:30 pm
Hall C
Session Chair: Holly Rushmeier, Yale University

Inverse Shade Trees for Non-Parametric Material Representation and Editing
Techniques for decomposing measured appearance datasets into intuitive shade trees. This framework supports data-driven representation of the SVBRDF that supports interactive rendering and editing.

Jason Lawrence
Princeton University

Aner Ben-Artzi
Columbia University

Christropher DeCoro
Princeton University

Wojciech Matusik
Hanspeter Pfister
Mitsubishi Electric Research Laboratories (MERL)

Ravi Ramamoorthi
Columbia University

Szymon Rusinkiewicz
Princeton University


A Compact Factored Representation of Heterogeneous Subsurface Scattering
A method for capturing the heterogeneous subsurface scattering of a variety of real-world samples, measuring spatial variation using a camera-projector setup. A novel factored representation enables compact storage and efficient rendering.

Pieter Peers
Karl vom Berge
Katholieke Universiteit Leuven

Wojciech Matusik
Mitsubishi Electric Research Laboratories (MERL)

Ravi Ramamoorthi
Columbia University

Jason Lawrence
Szymon Rusinkiewicz
Princeton University

Philip Dutré
Katholieke Universiteit Leuven


Appearance Manifolds for Modeling Time-Variant Appearance of Materials
Appearance manifolds is a visual simulation technique for modeling the time-variant surface appearance of a material from data captured at a single instant in time.

Jiaping Wang
Institute of Computing Technology, Chinese Academy of Sciences

Xin Tong
Steve Lin
Microsoft Research Asia

Minghao Pan
Zhejiang University

Chao Wang
Tsinghua University

Hujun Bao
Zhejiang University

Baining Guo
Heung-Yeung Shum
Microsoft Research Asia


Time-Varying Surface Appearance: Acquisition, Modeling, and Rendering
This work proposes a systematic study of various kinds of time-varying surface appearance including acquisition of a database, space-time appearance factorization (STAF) model, and some novel rendering applications based on the STAF model such as texture synthesis, time extrapolation, control, and transfer.

Jinwei Gu
Columbia University

Chien-i Tu
Mitsubishi Electric Research Laboratories (MERL)

Ravi Ramamoorthi
Peter Belhumeur
Columbia University

Wojciech Matusik
Mitsubishi Electric Research Laboratories (MERL)

Shree K. Nayar
Columbia University