Benoît Telle

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This article presents a new algebraic method for reconstructing emission tomography images. This approach is mostly an interval extension of the conventional SIRT algorithm. One of the main characteristic of our approach is that the reconstructed activity associated with each pixel of the reconstructed image is an interval whose length can be considered as(More)
— This papers presents an application of Interval Analysis to a 3D reconstruction problem. The aim is to build a partial boundaries representation of an object including guaranteed information according to the camera model. Features points coordinates are described using intervals. This representation is used together with a method to search stereo(More)
This paper deals with the problem of error estimation in 3D reconstruction. It shows how interval analysis can be used in this way for 3D vision applications. The description of an image point by an interval assumes an unknown but bounded localization. We present a new method based on interval analysis tools to propagate this bounded uncertainty. This way(More)
— This paper presents a 3D object segmentation algorithm based on dense 3D map provided by a stereoscopic vision system. The novelty of this paper is to use Interval Analysis for deciding to which region a 3D point should be merged with. This algorithm is used to implement an exploration behaviour on the HRP-2 humanoid robot.
— Considering a stereoscopic visual system, this paper deals with the error involved by a 3D reconstruction process. If image pixels are seen as surfaces instead of points, interval analysis provides bounding boxes in which the reconstructed 3D point lies with certainity. This paper presents a method which refine this bounding box and gives a tighter(More)
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