Search Results - "Cipolla, R."

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  1. 1

    Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection by Tae-Kyun Kim, Cipolla, R.

    “…This paper addresses a spatiotemporal pattern recognition problem. The main purpose of this study is to find a right representation and matching of action…”
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    Journal Article
  2. 2

    Multiscale Categorical Object Recognition Using Contour Fragments by Shotton, J., Blake, A., Cipolla, R.

    “…Psychophysical studies show that we can recognize objects using fragments of outline contour alone. This paper proposes a new automatic visual recognition…”
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    Journal Article
  3. 3

    Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations by Tae-Kyun Kim, Kittler, J., Cipolla, R.

    “…We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object's appearance due to changing…”
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    Journal Article
  4. 4

    Multiview Photometric Stereo by Hernandez, C., Vogiatzis, G., Cipolla, R.

    “…This paper addresses the problem of obtaining complete, detailed reconstructions of textureless shiny objects. We present an algorithm which uses silhouettes…”
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    Journal Article
  5. 5

    Model-based hand tracking using a hierarchical Bayesian filter by Stenger, B., Thayananthan, A., Torr, P.H.S., Cipolla, R.

    “…This paper sets out a tracking framework, which is applied to the recovery of three-dimensional hand motion from an image sequence. The method handles the…”
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    Journal Article
  6. 6

    Real-time visual tracking of complex structures by Drummond, T., Cipolla, R.

    “…Presents a framework for three-dimensional model-based tracking. Graphical rendering technology is combined with constrained active contour tracking to create…”
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    Journal Article
  7. 7

    Sparse Bayesian learning for efficient visual tracking by Williams, O., Blake, A., Cipolla, R.

    “…This paper extends the use of statistical learning algorithms for object localization. It has been shown that object recognizers using kernel-SVMs can be…”
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    Journal Article
  8. 8

    Silhouette Coherence for Camera Calibration under Circular Motion by Hernandez, C., Schmitt, F., Cipolla, R.

    “…We present a new approach to camera calibration as a part of a complete and practical system to recover digital copies of sculpture from uncalibrated image…”
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    Journal Article
  9. 9

    Expressive visual text-to-speech as an assistive technology for individuals with autism spectrum conditions by Cassidy, S.A., Stenger, B., Van Dongen, L., Yanagisawa, K., Anderson, R., Wan, V., Baron-Cohen, S., Cipolla, R.

    Published in Computer vision and image understanding (01-07-2016)
    “…•We show a videorealistic avatar, XpressiveTalk, which speaks in various emotional tones.•The use as an assistive technology for people with autism spectrum…”
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    Journal Article
  10. 10

    Modelling and Interpretation of Architecture from Several Images by Dick, A.R., Torr, P.H.S., Cipolla, R.

    Published in International journal of computer vision (01-11-2004)
    “…This paper describes the automatic acquisition of three dimensional architectural models from short image sequences. The approach is Bayesian and model based…”
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    Journal Article
  11. 11

    Overcoming Shadows in 3-Source Photometric Stereo by Hernández, Carlos, Vogiatzis, G, Cipolla, R

    “…Light occlusions are one of the most significant difficulties of photometric stereo methods. When three or more images are available without occlusion, the…”
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    Journal Article
  12. 12

    Coarse-to-fine vision-based localization by indexing scale-Invariant features by Junqiu Wang, Hongbin Zha, Cipolla, R.

    “…This paper presents a novel coarse-to-fine global localization approach inspired by object recognition and text retrieval techniques. Harris-Laplace interest…”
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    Journal Article
  13. 13

    Multi-view stereo via volumetric graph-cuts by Vogiatzis, G., Torr, P.H.S., Cipolla, R.

    “…This paper presents a novel formulation for the multi-view scene reconstruction problem. While this formulation benefits from a volumetric scene…”
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    Conference Proceeding
  14. 14

    Contour-based learning for object detection by Shotton, J., Blake, A., Cipolla, R.

    “…We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is…”
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    Conference Proceeding
  15. 15

    On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets by Tae-Kyun Kim, Kittler, J., Cipolla, R.

    Published in IEEE transactions on image processing (01-04-2010)
    “…We address the problem of face recognition by matching image sets. Each set of face images is represented by a subspace (or linear manifold) and recognition is…”
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    Journal Article
  16. 16

    Layered motion segmentation and depth ordering by tracking edges by Smith, P., Drummond, T., Cipolla, R.

    “…This paper presents a new Bayesian framework for motion segmentation /sub i/viding a frame from an image sequence into layers representing different moving…”
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    Journal Article
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    Semantic Photo Synthesis by Johnson, M., Brostow, G. J., Shotton, J., Arandjelovic, O., Kwatra, V., Cipolla, R.

    Published in Computer graphics forum (01-09-2006)
    “…Composite images are synthesized from existing photographs by artists who make concept art, e.g., storyboards for movies or architectural planning. Current…”
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    Journal Article
  19. 19

    Face recognition with image sets using manifold density divergence by Arandjelovic, O., Shakhnarovich, G., Fisher, J., Cipolla, R., Darrell, T.

    “…In many automatic face recognition applications, a set of a person's face images is available rather than a single image. In this paper, we describe a novel…”
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    Conference Proceeding
  20. 20

    Camera calibration from surfaces of revolution by Wong, K.-Y.K., Mendonca, P.R.S., Cipolla, R.

    “…This paper addresses the problem of calibrating a pinhole camera from images of a surface of revolution. Camera calibration is the process of determining the…”
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    Journal Article