The 4th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia
Conference 12-15 December • Exhibition 13-15 December • Hong Kong Convention & Exhibition Centre
 

Technical Papers

Cameras and Appearance

Thursday, 15 December 09:00 - 10:45 |  Convention Hall B

Session Chair
Xin Tong

Practical Spectral Characterization of Trichromatic Cameras - Picture

Practical Spectral Characterization of Trichromatic Cameras


We present a practical approach for multispectral characterization of trichromatic cameras that works in a wide range of out-of-lab environments.


Martin Rump, University Bonn
Arno Zinke, GfaR mbH
Reinhard Klein, University Bonn
Single View Reflectance Capture Using Multiplexed Scattering and Time-of-Flight Imaging - Picture

Single View Reflectance Capture Using Multiplexed Scattering and Time-of-Flight Imaging


We demonstrate a new technique that allows a camera to rapidly acquire reflectance properties of objects in a scene from a single view point, over relatively long distances and without encircling equipment. We introduce time-of-flight reflectance estimation and demultiplex parametric bidirectional reflectance distribution functions (BRDFs) for multiple heterogeneous patches simultaneously.


Nikhil Naik, Massachusetts Institute of Technology
Shuang Zhao, Cornell University
Andreas Velten, Massachusetts Institute of Technology
Ramesh Raskar, Massachusetts Institute of Technology
Kavita Bala, Cornell University
Estimating Dual-scale Properties of Glossy Surfaces from Step-edge Lighting - Picture

Estimating Dual-scale Properties of Glossy Surfaces from Step-edge Lighting


This paper introduces a rapid appearance capture method suited for a variety of common indoor surfaces, in which a single photograph of the reflection of a step edge is used to estimate both a bidirectional reflectance distribution function (BRDF) and a statistical model for visible surface geometry, or mesostructure.


Chun-Po Wang, Cornell University
Noah Snavely, Cornell University
Steve Marschner, Cornell University
Interactive Hair Rendering and Appearance Editing under Environment Lighting - Picture

Interactive Hair Rendering and Appearance Editing under Environment Lighting


An interactive hair rendering and appearance editing method under environment maps represented by spherical radial basis function (SRBF) lights. We model hair scattering functions as 1D circular Gaussians, enabling closed-form integrals with SRBF lights computed online. Our method enables dynamic editing of scattering parameters, accounts for eccentricity, and provides interactive framerates using GPU.


Kun Xu, Tsinghua University
Li-Qian Ma, Tsinghua University
Bo Ren, Tsinghua University
Rui Wang, University of Massachusetts
Shi-Min Hu, Tsinghua University