arXiv:2304.04687

Learning to Detect Touches on Cluttered Tables

Norberto Adrian Goussies, Kenji Hata, Shruthi Prabhakara, Abhishek Amit, Tony Aube, Carl Cepress, Diana Chang, Li-Te Cheng, Horia Stefan Ciurdar, Mike Cleron, Chelsey Fleming, Ashwin Ganti, Divyansh Garg, Niloofar Gheissari, Petra Luna Grutzik 외 16명

제출 2023-04-10

원문 초록

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.

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