Exploració per autor "Fua, Pascal"
Ara es mostren els items 1-10 de 10
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Active testing search for point cloud matching
Amável Pinheiro, Miguel; Sznitman, Raphael; Serradell, Eduard; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal (Springer, 2013)
Text en actes de congrés
Accés obertWe present a general approach for solving the point-cloud matching problem for the case of mildly nonlinear transformations. Our method quickly finds a coarse approximation of the solution by exploring a reduced set of ... -
Combining geometric and appearance priors for robust homography estimation
Serradell, Eduard; Özuysa, Mustafa; Lepetit, Vincent; Fua, Pascal; Moreno-Noguer, Francesc (Springer, 2010)
Text en actes de congrés
Accés restringit per política de l'editorialAbstract. The homography between pairs of images are typically computed from the correspondence of keypoints, which are established by using image descriptors. When these descriptors are not reliable, either because of ... -
Discriminative learning of deep convolutional feature point descriptors
Simó Serra, Edgar; Trulls Fortuny, Eduard; Ferraz, Luis; Kokkinos, Iasonas; Fua, Pascal; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
Text en actes de congrés
Accés obertDeep learning has revolutionalized image-level tasks such as classification, but patch-level tasks, such as correspondence, still rely on hand-crafted features, e.g. SIFT. In this paper we use Convolutional Neural Networks ... -
Exploring ambiguities for monocular non-rigid shape estimation
Moreno-Noguer, Francesc; Porta Pleite, Josep Maria; Fua, Pascal (Springer, 2010)
Text en actes de congrés
Accés obertRecovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear ... -
Non-rigid graph registration using active testing search
Serradell, Eduard; Amável Pinheiro, Miguel; Sznitman, Raphael; Kybic, Jan; Moreno-Noguer, Francesc; Fua, Pascal (2015)
Article
Accés obertWe present a new approach for matching sets of branching curvilinear structures that form graphs embedded in R^2 or R^3 and may be subject to deformations. Unlike earlier methods, ours does not rely on local appearance ... -
Reconstructing geometrically consistent tree structures from noisy images
Türetken, Engin; Blum, Christian; González, Germán; Fua, Pascal (2010-09)
Article
Accés restringit per política de l'editorialWe present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bifurcation points, and impose geometric constraints ... -
Robust elastic 2D/3D geometric graph matching
Serradell, Eduard; Kybic, J.; Moreno-Noguer, Francesc; Fua, Pascal (2012)
Text en actes de congrés
Accés obertWe present an algorithm for geometric matching of graphs embedded in 2D or 3D space. It is applicable for registering any graph-like structures appearing in biomedical images, such as blood vessels, pulmonary bronchi, ... -
Robust non-rigid registration of 2D and 3D graphs
Serradell, Eduard; Glowacki, Przemyslaw; Jan, Kybic; Moreno-Noguer, Francesc; Fua, Pascal (2012)
Text en actes de congrés
Accés obertWe present a new approach to matching graphs embedded in R2 or R3. Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not require an initial alignment, can handle partial ... -
Simultaneous pose, correspondence and non-rigid shape
Sánchez-Riera, Jordi; Ostlund, Jonas; Fua, Pascal; Moreno-Noguer, Francesc (2010)
Text en actes de congrés
Accés restringit per política de l'editorialRecent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a single image given a set of 3D-to-2D correspondences between that image and another one for which the shape is known. However, ... -
Stochastic exploration of ambiguities for nonrigid shape recovery
Moreno-Noguer, Francesc; Fua, Pascal (2013)
Article
Accés obertRecovering the 3D shape of deformable surfaces from single images is known to be a highly ambiguous problem because many different shapes may have very similar projections. This is commonly addressed by restricting the set ...