Digital image processing
A Simple and Efficient Connected Components Labeling Algorithm
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
A linear-time component-labeling algorithm using contour tracing technique
Computer Vision and Image Understanding
reacTIVision: a computer-vision framework for table-based tangible interaction
Proceedings of the 1st international conference on Tangible and embedded interaction
A low-cost infrastructure for tabletop games
Future Play '08 Proceedings of the 2008 Conference on Future Play: Research, Play, Share
Fast connected-component labeling
Pattern Recognition
Efficient approximation of Gaussian filters
IEEE Transactions on Signal Processing
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Fast and accurate touch detection is critical to the usability of multi-touch tabletops. In optical tabletops, such as those using the popular FTIR and DI technologies, this requires efficient and effective noise reduction to enhance touches in the camera's input. Common approaches to noise reduction do not scale to larger tables, leaving designers with a choice between accuracy problems and expensive hardware. In this paper, we present a novel noise reduction algorithm that provides better touch recognition than current alternatives, particularly in noisy environments, without imposing higher computational cost. We empirically compare our algorithm to other noise reduction approaches using data collected from tabletops at research labs in Canada and Europe.