Best Paper Award at IEEE MMSP’13

The article “Alignment of Binocular-Binaural Data Using a Moving Audio-Visual Target” received the “Best Paper Award” at the IEEE International Workshop on Multimedia Signal Processing (MMSP’13), Pula, Italy, September-October 2013. The paper is authored by Vasil Khalidov (IDIAP), Radu Horaud (INRIA) and Florence Forbes (INRIA).

The paper addresses the problem of of aligning visual and auditory  data using a sensor that is composed of a camera-pair and a microphone-pair. The original contribution of the paper is a method for audio-visual data aligning through estimation of the 3D positions of the microphones in the visual centred coordinate frame defined by the stereo camera-pair.

The paper can be downloaded here: Alignment of Binocular-Binaural Data Using a Moving Audio-Visual Target.

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