Learning to Detect Touches on Cluttered Tables
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 39 references that are in the map. First posted on arXiv 10 Apr 2023.
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12 of 39 references.
References · 12
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- 2017The Devil is in the Decoder: Classification, Regression and GANscited by 22
- 2018Enhanced Touchable Projector-depth System with Deep Hand Pose Estimationcited by 1
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