Fabrice Caillette

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In this paper, we introduce a 3-D human-body tracker capable of handling fast and complex motions in real-time. We build upon the Monte-Carlo Bayesian framework, and propose novel prediction and evaluation methods improving the robustness and efficiency of the tracker. The parameter space, augmented with first order derivatives, is automatically partitioned(More)
In this paper, we introduce a 3-D human-body tracker capable of handling fast and complex motions in real-time. The parameter space, augmented with first order derivatives, is automatically partitioned into Gaussian clusters each representing an elementary motion: hypothesis propagation inside each cluster is therefore accurate and efficient. The(More)
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is achieved by first obtaining a low dimensional representation of the training motion data, using a nonlinear dimensionality reduction technique called back-constrained GPLVM. A prior(More)
This paper describes a study protocol to investigate the use of immersive virtual reality as a treatment for amputees' phantom limb pain. This work builds upon prior research using mirror box therapy to induce vivid sensations of movement originating from the muscles and joints of amputees' phantom limbs. The present project transposes movements of(More)
PURPOSE This paper describes the design and implementation of a case study based investigation using immersive virtual reality as a treatment for phantom limb pain. METHOD Three participants who experienced phantom limb pain (two with an upper-limb amputation, and one with a lower-limb amputation) took part in between 2 and 5 immersive virtual reality(More)
We present an approach to full human-body tracking, using markerless multiview images as input, performing acquisition, reconstruction and tracking in real-time on a single PC. Our approach employs a hierarchical visual-hull algorithm which segments only the most interesting regions of the images and includes colour information. The tracking step uses blobs(More)
This paper presents a robust method for real-time visual human body tracking. We perform a hierarchical 3-D reconstruction from multiple camera views as a basis for tracking. Blobs attached to a kinematic model are then used to reliably track individual body parts with both volume and color information. We describe how the blob-model is dynamically adjusted(More)
This paper describes a pilot study to evaluate the efficacy of using immersive virtual reality (IVR) to treat phantom limb pain. This work builds upon prior research using a mirror box (in which the amputee sees a mirror image of their remaining anatomical limb in the phenomenal space of their amputated limb) to induce vivid sensations of movement(More)
This paper describes the design and implementation of a case-study based investigation using immersive virtual reality as a treatment for phantom limb pain. The authors' work builds upon prior research which has found the use of a mirror box (where the amputee sees a mirror image of their remaining anatomical limb in the phenomenal space of their amputated(More)