Search Results - "FUA, P"

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  1. 1

    Keypoint recognition using randomized trees by Lepetit, V., Fua, P.

    “…In many 3D object-detection and pose-estimation problems, runtime performance is of critical importance. However, there usually is time to train the system,…”
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    Journal Article
  2. 2

    Multiple Object Tracking Using K-Shortest Paths Optimization by Berclaz, J., Fleuret, F., Turetken, E., Fua, P.

    “…Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very…”
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    Journal Article
  3. 3

    Fast Keypoint Recognition Using Random Ferns by Ozuysal, M., Calonder, M., Lepetit, V., Fua, P.

    “…While feature point recognition is a key component of modern approaches to object detection, existing approaches require computationally expensive patch…”
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    Journal Article
  4. 4

    LDAHash: Improved Matching with Smaller Descriptors by Strecha, C., Bronstein, A. M., Bronstein, M. M., Fua, P.

    “…SIFT-like local feature descriptors are ubiquitously employed in computer vision applications such as content-based retrieval, video analysis, copy detection,…”
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    Journal Article
  5. 5

    Multicamera People Tracking with a Probabilistic Occupancy Map by Fleuret, F., Berclaz, J., Lengagne, R., Fua, P.

    “…Given two to four synchronized video streams taken at eye level and from different angles, we show that we can effectively combine a generative model with…”
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    Journal Article
  6. 6

    Stable real-time 3D tracking using online and offline information by Vacchetti, L., Lepetit, V., Fua, P.

    “…We propose an efficient real-time solution for tracking rigid objects in 3D using a single camera that can handle large camera displacements, drastic aspect…”
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    Journal Article
  7. 7

    On benchmarking camera calibration and multi-view stereo for high resolution imagery by Strecha, C., von Hansen, W., Van Gool, L., Fua, P., Thoennessen, U.

    “…In this paper we want to start the discussion on whether image based 3D modelling techniques can possibly be used to replace LIDAR systems for outdoor 3D data…”
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    Conference Proceeding
  8. 8

    Articulated soft objects for multiview shape and motion capture by Plankers, R., Fua, P.

    “…We develop a framework for 3D shape and motion recovery of articulated deformable objects. We propose a formalism that incorporates the use of implicit…”
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    Journal Article
  9. 9

    Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors by Dejnabadi, H., Jolles, B.M., Casanova, E., Fua, P., Aminian, K.

    “…A new method of estimating lower limbs orientations using a combination of accelerometers and gyroscopes is presented. The model is based on estimating the…”
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    Journal Article
  10. 10

    Surface Deformation Models for Nonrigid 3D Shape Recovery by Salzmann, M., Pilet, J., Ilic, S., Fua, P.

    “…Three-dimensional detection and shape recovery of a nonrigid surface from video sequences require deformation models to effectively take advantage of…”
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    Journal Article
  11. 11

    Randomized trees for real-time keypoint recognition by Lepetit, V., Lagger, P., Fua, P.

    “…In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all…”
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    Conference Proceeding
  12. 12

    Human body pose detection using Bayesian spatio-temporal templates by Dimitrijevic, M., Lepetit, V., Fua, P.

    Published in Computer vision and image understanding (01-11-2006)
    “…We present a template-based approach to detecting human silhouettes in a specific walking pose. Our templates consist of short sequences of 2D silhouettes…”
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    Journal Article
  13. 13

    From multiple stereo views to multiple 3-D surfaces by FUA, P

    Published in International journal of computer vision (01-08-1997)
    “…We present a framework for 3-dimensional surface reconstruction that can be used to model fully 3-D scenes from an arbitrary number of stereo views taken from…”
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    Journal Article
  14. 14

    Priors for people tracking from small training sets by Urtasun, R., Fleet, D.J., Hertzmann, A., Fua, P.

    “…We advocate the use of scaled Gaussian process latent variable models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM…”
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    Conference Proceeding
  15. 15

    Implicit meshes for surface reconstruction by Ilic, S., Fua, P.

    “…Deformable 3D models can be represented either as traditional explicit surfaces, such as triangulated meshes, or as implicit surfaces. Explicit surfaces are…”
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    Journal Article
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  17. 17

    Hierarchical implicit surface joint limits for human body tracking by Herda, L., Urtasun, R., Fua, P.

    Published in Computer vision and image understanding (01-08-2005)
    “…To increase the reliability of existing human motion tracking algorithms, we propose a method for imposing limits on the underlying hierarchical joint…”
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    Journal Article
  18. 18

    DEVELOPING SPECIES SPECIFIC VEGETATION MAPS USING MULTI-SPECTRAL HYPERSPATIAL IMAGERY FROM UNMANNED AERIAL VEHICLES by Strecha, C., Fletcher, A., Lechner, A., Erskine, P., Fua, P.

    “…In remote, rugged or sensitive environments ground based mapping for condition assessment of species is both time consuming and potentially destructive. The…”
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    Journal Article
  19. 19

    Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation by Shahrokni, A., Drummond, T., Fleuret, F., Fua, P.

    “…We introduce a classification-based approach to finding occluding texture boundaries. The classifier is composed of a set of weak learners which operate on…”
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    Journal Article
  20. 20

    Fast, accurate and consistent modeling of drainage and surrounding terrain by FUA, P

    Published in International journal of computer vision (01-02-1998)
    “…We propose an automated approach to modeling drainage channels--and, more generally, linear features that lie on the terrain--from multiple images. It produces…”
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    Journal Article