Virtual camera synthesis for soccer game replays

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Extended patch prioritization for depth filling within constrained exemplar-based RGB-D image completion.

We address the problem of hole filling in depth images, obtained from either active or stereo sensing, for the purposes of depth image completion in an exemplar-based framework. Most existing exemplar-based inpainting techniques, designed for color image completion, do not perform well on depth information with object boundaries obstructed or surrounded by missing regions. In the proposed method, using both color (RGB) and depth (D) information available from a common-place RGB-D image, we explicitly modify the patch prioritization term utilized for target patch ordering to facilitate improved propagation of complex texture and linear structures within depth completion. Furthermore, the query space in the source region is constrained to increase the efficiency of the approach compared to other exemplar-driven methods. Evaluations demonstrate the efficacy of the proposed method compared to other contemporary completion techniques

Référentiel de connaissances pour un numérique éco-responsable

L’objectif de ce document est de définir un référentiel/socle de connaissances commun pour les enseignements sur le numérique responsable (impacts du numérique et comment les limiter1), à destination de formations en informatique ou d’autres filières incluant des cours d’informatique.Nous cherchons à répondre à la question suivante :Quelles connaissances devrait apporter une formation en informatique à des étudiantes et étudiants pour leur permettre d’apporter des réponses aux enjeux environnementaux et sociétaux dans leur vie professionnelle et citoyenne ?Ce document est donc focalisé sur les impacts du numérique, mais certains aspects plus généraux(enjeux environnementaux, contexte économique...) sont néanmoins abordés car nécessaires à la compréhension des aspects informatiques.Ce référentiel vise à fournir des notions et références utiles, mais n’a pas vocation à remplacer un cours

Disocclusion of 3D LiDAR point clouds using range images

This paper proposes a novel framework for the disocclusion of mobile objects in 3D LiDAR scenes aquired via street-based Mobile Mapping Systems (MMS). Most of the existing lines of research tackle this problem directly in the 3D space. This work promotes an alternative approach by using a 2D range image representation of the 3D point cloud, taking advantage of the fact that the problem of disocclusion has been intensively studied in the 2D image processing community over the past decade. First, the point cloud is turned into a 2D range image by exploiting the sensor's topology. Using the range image, a semi-automatic segmentation procedure based on depth histograms is performed in order to select the occluding object to be removed. A variational image inpainting technique is then used to reconstruct the area occluded by that object. Finally, the range image is unprojected as a 3D point cloud. Experiments on real data prove the effectiveness of this procedure both in terms of accuracy and speed

Hermes first force measurement in ONERA-F4 wind tunnel

Communication to : European Symposium of ESTEC, Noordwijk (The Netherlands), November 22-25, 1994SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : 22419, issue : a.1996 n.68 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

Super-Resolution-based Inpainting

Abstract. Thispaperintroducesanewexamplar-basedinpaintingframework. A coarse version of the input image is first inpainted by a nonparametric patch sampling. Compared to existing approaches, some improvements have been done (e.g. filling order computation, combination of K nearest neighbours). The inpainted of a coarse version of the input image allows to reduce the computational complexity, to be less sensitive to noise and to work with the dominant orientations of image structures. From the low-resolution inpainted image, a single-image super-resolution is applied to recover the details of missing areas. Experimental results on natural images and texture synthesis demonstrate the effectiveness of the proposed method. Key words: examplar-based inpainting, super-resolution