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Francois Berard

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Publication statistics

Pub. period:1999-2011
Pub. count:5
Number of co-authors:8

Co-authors

Number of publications with 3 favourite co-authors:

Joëlle Coutaz:2
James L. Crowley:2
Michael J. McGuffin:1

Productive colleagues

Francois Berard's 3 most productive colleagues in number of publications:

Joëlle Coutaz:46
James L. Crowley:18
Jeremy R. Cooperst..:8

Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Intl. Workshop on Design and Spontaneity in Computer-Supported Collaborative Learning (DS-CSCL 2013)

May 22

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Francois Berard

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Publications by Francois Berard (bibliography)

2011

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Wang, Guangyu, McGuffin, Michael J., Berard, Francois and Cooperstock, Jeremy R. (2011): Pop-up depth views for improving 3D target acquisition. In: Proceedings of the 2011 Conference on Graphics Interface 2011. pp. 41-48.

“We present the design and experimental evaluation of pop-up depth views, a novel interaction technique for aiding in the placement or positioning of a 3D cursor or object. Previous work found that in a 3D placement task, a 2D mouse used with multiple orthographic views outperformed a 3D input device used with a perspective view with stereo. This was the case, even though the mouse required two clicks to complete the task instead of only the single click required with the 3D input device. We improve performance with 3D input devices with pop-up depth views, small inset views in a perspective display of the scene. These provide top- and side-views of the immediate 3D neighborhood of the cursor, thereby allowing the user to see more easily along the depth dimension, improving the user's effective depth acuity. In turn, positioning with the 3D input device is also improved. Furthermore, because the depth views are displayed near the 3D cursor, only tiny eye movements are required for the user to perceive the 3D cursor's depth with respect to nearby objects. Pop-up depth views are a kind of depth view, only displayed when the user's cursor slows down. In this manner, they do not occlude the 3D scene when the user is moving quickly. Our experimental evaluation shows that the combination of a 3D input device used with a perspective view, stereo projection, and pop-up depth views, outperforms a 2D mouse in a 3D target acquisition task, in terms of both movement time and throughput, but at the cost of a slightly higher error rate.”

2009

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Berard, Francois and Laurillau, Yann (2009): Single user multitouch on the DiamondTouch: from 2 x 1D to 2D. In: Proceedings of the 2009 ACM International Conference on Interactive Tabletops and Surfaces 2009. pp. 1-8.

“The DiamondTouch is a widely used multi-touch surface that offers high quality touch detection and user identification. But its underlying detection mechanism relies on two 1D projections (x and y) of the 2D surface. This creates ambiguous responses when a single user exercises multiple contacts on the surface and limits the ability of the DiamondTouch to provide full support of common multi-touch interactions such as the unconstrained translation, rotation and scaling of objects with two fingers. This paper presents our solution to reduce this limitation. Our approach is based on a precise modeling, using mixtures of Gaussians, of the touch responses on each array of antennas. This greatly reduces the shadowing of the touch locations when two or more fingers align with each other. We use these accurate touch detections to implement two 1D touch trackers and a global 2D tracker. The evaluation of our system shows that, in many situations, it can provide the complete 2D locations of at least two contacts points from the same user.”

2004

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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.

“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.”

2000

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Crowley, James L., Coutaz, Joëlle and Berard, Francois (2000): Things That See. In Communications of the ACM, 43 (3) pp. 54-64.

1999

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Coutaz, Joëlle, Berard, Francois, Carraux, E. and Crowley, James L. (1999): Early Experience with the Mediaspace CoMedi. In: Chatty, Stephane and Dewan, Prasun (eds.) Engineering for Human-Computer Interaction, IFIP TC2/TC13 WG2.7/WG13.4 Seventh Working Conference on Engineering for Human-Computer Interaction September 14-18, 1999, Heraklion, Crete, Greece. pp. 57-72.

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