From the Reactable homepage: “The reactable is a collaborative electronic music instrument with a tabletop tangible multi-touch interface. Several simultaneous performers share complete control over the instrument by moving and rotating physical objects on a luminous round table surface. By moving and relating these objects, representing components of a classic modular synthesizer, users can create complex and dynamic sonic topologies, with generators, filters and modulators, in a kind of tangible modular synthesizer or graspable flow-controlled programming language.”
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Computers outperform humans at Face Recognition
The recently released results of the Face Recognition Grand Challenge now show that computers are capable at outperforming humans in face recognition tasks. The recent match up of face-recognition algorithms showed that machine recognition of human individuals has improved tenfold since 2002 and a hundredfold since 1995. Indeed, the best face-recognition algorithms now perform more accurately than most humans can manage. Overall, facial-recognition technology is advancing rapidly.
Check out Mark Williams’s article for the Technology Review for a rundown of some of the entries for the grand challenge. This story was also recently covered on slashdot.
ARToolkit Experiments
ARToolkit provides a method of tracking markers in a video sequence in order to determine a given cameras projection matrix. This allows the cameras position and orientation in relation to the marker to be determined and for virtual objects to be projected into the viewing plane. We loaded our reconstructed head models in conjunction with ARToolkit for the following ARToolkit test application:
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