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Julien Letessier


Publications by Julien Letessier (bibliography)

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Borkowski, Stanislaw, Maisonnaisse, Jrme, Letessier, Julien and Crowley, James L. (2006): Exploiter des interfaces mobiles dans le cadre d'un travail collaboratif co-prsent. In: Proceedings of the 2006 Conference of the Association Francophone dInteraction Homme-Machine 2006. pp. 283-284. http://doi.acm.org/10.1145/1132736.1132784

With the advent of new display technologies, our working habits are likely to change. Tabletop displays and lightweight portable devices will diminish current spatial constraints, and allow new forms of computer assisted work. To anticipate this trend, it is necessary to explore new interaction scenarios based on mobile interfaces. In this video, we present an editing application in which a portable interface allows users to collaboratively author a presentation. We describe our approach to create projection-based mobile interfaces, and outline an ongoing experiment evaluating different interaction techniques for passing the control of a mobile interface.

© All rights reserved Borkowski et al. and/or ACM Press

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Borkowski, Stanislaw, Letessier, Julien and Crowley, James L. (2005): Spatial Control of Interactive Surfaces in an Augmented Environment. In: Bastide, Remi, Palanque, Philippe A. and Roth, Jorg (eds.) Engineering Human Computer Interaction and Interactive Systems, Joint Working Conferences EHCI-DSVIS 2004 July 11-13, 2005, Hamburg, Germany. pp. 228-244. http://dx.doi.org/10.1007/11431879_15

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Letessier, Julien and Berard, Francois (2004): Visual tracking of bare fingers for interactive surfaces. In: Proceedings of the 2004 ACM Symposium on User Interface Software and Technology 2004. pp. 119-122. http://doi.acm.org/10.1145/1029632.1029652

Visual tracking of bare fingers allows more direct manipulation of digital objects, multiple simultaneous users interacting with their two hands, and permits the interaction on large surfaces, using only commodity hardware. After presenting related work, we detail our implementation. Its design is based on our modeling of two classes of algorithms that are key to the tracker: Image Differencing Segmentation (IDS) and Fast Rejection Filters (FRF). We introduce a new chromatic distance for IDS and a FRF that is independent to finger rotation. The system runs at full frame rate (25 Hz) with an average total system latency of 80 ms, independently of the number of tracked fingers. When used in a controlled environment such as a meeting room, its robustness is satisfying for everyday use.

© All rights reserved Letessier and Berard and/or ACM Press

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