Versatile Material Classification
for Interaction
with Textureless, Specular
and Transparent Surfaces
Surface and object recognition is of significant importance in ubiquitous and wearable computing. While various techniques exist to infer context from material properties and appearance, they are typically neither designed for real-time applications nor for optically complex surfaces that may be specular, textureless, and even transparent. These materials are, however, becoming increasingly relevant in HCI for transparent displays, interactive surfaces, and ubiquitous computing.
Munehiko Sato*, Shigeo Yoshida*, Alex Olwal, Boxin Shi,
Atsushi Hiyama, Tomohiro Tanikawa Michitaka Hirose, and Ramesh Raskar.
“SpecTrans: Versatile Material Classification for Interaction with Textureless, Specular and Transparent Surfaces,” ACM CHI ’15, Seoul, Korea, April 2015.
(* The first two authors contributed equally to this work.)
Download Paper PDF, ACM Digital Library
Postdoctoral Associate
Camera Culture Group
MIT Media Lab
Ph.D student
Cyber Interface Laboratory
The University of Tokyo
Interaction Researcher
Google [x]
SUTD-MIT Joint Postdoctoral Fellow
Camera Culture Group / VGD Group
MIT Media Lab / SUTD
M.F.A candidate
Digital Media
Rhode Island School of Design
Associate Professor
Camera Culture Group
MIT Media Lab