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Recent progress in virtual reality (VR) technologies make immersion more accessible to everyone, and, in particular, developments aimed at the entertainment industry are being brought into to the domain of health.The main uses of VR in health are of two forms. First, it is a new method to diagnose and to treat patients; second, it is a new method to train and/or teach healthcare and emergencyresponse professionals.

Many applications require the use of multiple cameras to cover a large volume. In this paper, we evaluate several pairwise calibration techniques dedicated to multiple range cameras. We compare the precision of a self-calibration technique based on the movement in front of the cameras to object based calibration. While the self-calibration technique is less precise than its counterparts, it yields a first estimation of the transformation between the cameras and permits to detect when the cameras become mis-aligned. Therefore, this technique is useful in a practical situations.