Jean-Philippe Farrugia
University of Lyon
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jean-Philippe Farrugia.
international conference on multimedia and expo | 2006
Jean-Philippe Farrugia; Patrick Horain; Erwan Guehenneux; Yannick Alusse
This paper presents a state of the art report on using graphics hardware for image processing and computer vision. Then we describe GPUCV, an open library for easily developing GPU accelerated image processing and analysis operators and applications
eurographics | 2004
Jean-Philippe Farrugia; Bernard Peroche
In this paper, we propose to solve the global illumination problem through a progressive rendering method relying on an adaptive sampling of the image space. The refinement of this sample scheme is driven by an image metric based on a powerful vision model. A Delaunay triangulation of the sampled points is followed by a classification of these triangles into three classes. By interpolating each triangle according to the class it belongs to, we can obtain a high quality image by computing only a fraction of all the pixels and thus saving computation time.
discrete geometry for computer imagery | 2016
Hélène Perrier; Jérémy Levallois; David Coeurjolly; Jean-Philippe Farrugia; Jean Claude Iehl; Jacques-Olivier Lachaud
Interactive visualization is a very convenient tool to explore complex scientific data or to try different parameter settings for a given processing algorithm. In this article, we present a tool to efficiently analyze the curvature tensor on the boundary of potentially large and dynamic digital objects mean and Gaussian curvatures, principal curvatures, principal directions and normal vector field. More precisely, we combine a fully parallel pipeline on GPU to extract an adaptive triangulated isosurface of the digital object, with a curvature tensor estimation at each surface point based on integral invariants. Integral invariants being parametrized by a given ball radius, our proposal allows to explore interactively different radii and thus select the appropriate scale at which the computation is performed and visualized.
42ND ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Incorporating the 6th European-American Workshop on Reliability of NDE | 2016
Hamza Chouh; Gilles Rougeron; Sylvain Chatillon; Jean Claude Iehl; Jean-Philippe Farrugia; Victor Ostromoukhov
Ultrasonic field simulation is a key ingredient for the design of new testing methods as well as a crucial step for NDT inspection simulation. As presented in a previous paper [1], CEA-LIST has worked on the acceleration of these simulations focusing on simple geometries (planar interfaces, isotropic materials). In this context, significant accelerations were achieved on multicore processors and GPUs (Graphics Processing Units), bringing the execution time of realistic computations in the 0.1 s range.In this paper, we present recent works that aim at similar performances on a wider range of configurations. We adapted the physical model used by the CIVA platform to design and implement a new algorithm providing a fast ultrasonic field simulation that yields nearly interactive results for complex cases. The improvements over the CIVA pencil-tracing method include adaptive strategies for pencil subdivisions to achieve a good refinement of the sensor geometry while keeping a reasonable number of ray-tracing o...
eurographics | 2012
François Fouquet; Jean-Philippe Farrugia; Jean Claude Iehl; Jonathan Dupuy
This paper presents a new method to evaluate visibility from a point cloud by using a meshless statistical representation. The resulting evaluation uses much less memory than previous work while still producing high quality images, making it suitable for memory limited systems. The obtained results are exposed through the evaluation of shadow maps using a point cloud created from range images and are compared to current methods, which rely on mesh reconstruction techniques.
multimedia signal processing | 2010
François Fouquet; Jean-Philippe Farrugia; Brice Michoud; Sylvain Brandel
Augmented reality aims to insert virtual objects in real scenes. In order to obtain a coherent and realistic integration, these objects have to be relighted according to their positions and real light conditions. They also have to deal with occlusion by nearest parts of the real scene. To achieve this, we have to extract photometry and geometry from the real scene. In this paper, we adapt high dynamic range reconstruction and depth estimation methods to deal with real-time constraint and consumer devices. We present their limitations along with significant parameters influencing computing time and image quality. We tune these parameters to accelerate computation and evaluate their impact on the resulting quality. To fit with the augmented reality context, we propose a real-time extraction of these information from video streams, in a single pass.
Archive | 2017
Jean-Philippe Farrugia; Bruno Tellez
Archive | 2017
Jean-Philippe Farrugia; Frederic Merienne
Archive | 2016
Eric Mathieu; Jean-Philippe Farrugia; Aurélien Grivollat
15ème Congrès Francophone de Techniques Laser (CFTL) | 2016
Eric Mathieu; Jean-Philippe Farrugia; Aurélien Grivollat