1 research outputs found
Learning to Detect Touches on Cluttered Tables
We present a novel self-contained camera-projector tabletop system with a
lamp form-factor that brings digital intelligence to our tables. We propose a
real-time, on-device, learning-based touch detection algorithm that makes any
tabletop interactive. The top-down configuration and learning-based algorithm
makes our method robust to the presence of clutter, a main limitation of
existing camera-projector tabletop systems. Our research prototype enables a
set of experiences that combine hand interactions and objects present on the
table. A video can be found at https://youtu.be/hElC_c25Fg8