reacTIVision: a computer-vision framework for table-based tangible interaction

By Martin Kaltenbrunner, Ross Bencina. International Conference on Tangible, Embedded, and Embodied Interaction, 2007

527 citations recorded by the source corpus.

This article provides an introductory overview to first-time users of the reacTIVision framework -- an open-source cross-platform computer-vision framework primarily designed for the construction of table-based tangible user interfaces. The central component of the framework is a standalone application for fast and robust tracking of fiducial markers in a real-time video stream. The framework also defines a transport protocol for efficient and reliable transmission of object states via a local or wide area network. In addition, the distribution includes a collection of client example projects for various programming environments that allow the rapid development of unique tangible user interfaces. This article also provides a discussion of key points relevant to the construction of the necessary table hardware and surveys some projects that have been based on this technology.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3aa1b46b1bdd0350202001f4e956e2ab5f651df1

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In Cognitive Neuroscience

In Computer Vision and Pattern Recognition

In Human-Computer Interaction

Citations in the corpus

Automatic generation and detection of highly reliable fiducial markers under occlusion (2014, methodology): “Other popular fiducial markers are the ReacTIVision amoeba markers [20] which are also based on blob detection and its design was optimized by using genetic algorithms.”