C-Slate: A Multi-Touch and Object Recognition System for Remote Collaboration using Horizontal Surfaces

Shahram Izadi, Ankur Agarwal, Antonio Criminisi, John Winn, Andrew Blake, and Andrew Fitzgibbon

Abstract

We introduce C-Slate, a new vision-based system,

which utilizes stereo cameras above a commercially

available tablet technology to support remote

collaboration. The horizontally mounted tablet provides

the user with high resolution stylus input, which is

augmented by multi-touch interaction and recognition of

untagged everyday physical objects using new stereo

vision and machine learning techniques. This provides a

novel and interesting interactive tabletop arrangement,

capable of supporting a variety of fluid multi-touch

interactions, including symmetric and asymmetric

bimanual input, coupled with the potential for

incorporating tangible objects into the user interface.

When used in a remote context, these features are

combined with the ability to see visual representations of

remote users’ hands and remote physical objects placed

on top of the surface. This combination of bimanual and

tangible interaction and sharing of remote gestures and

physical objects provides a new way to collaborate

remotely, complementing existing channels such as audio

and video conferencing.

Details

Publication typeInproceedings
Published inProceedings of the Second Annual IEEE International Workshop on Horizontal Interactive Human-Computer Systems (Tabletop 2007)
PublisherIEEE
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