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Steerable video projection systems make it possible to use any convenient surface as a display. This paper describes a steerable projection system in which a projector and camera are mounted in an overhead motorized assembly with two degrees of freedom. Associating a remote camera to the video projector makes it possible to discover planar surfaces in the… (More)

The characteristic (or intrinsic) scale of a local image pattern is the scale parameter at which the Laplacian provides a local maximum. Nearly every position in an image will exhibit a small number of such characteristic scales. Computing a Gaussian jet at a characteristic scale provides a scale invariant feature vector for tracking, matching, indexing and… (More)

- Fabien Pelisson, Daniela Hall, Olivier Riff, James L. Crowley
- Machine Vision and Applications
- 2003

In this article, we describe a module for the identification of brand logos from video data. A model for the visual appearance of each logo is generated from a small number of sample images using multidimensional histograms of scale-normalized chromatic Gaussian receptive fields. We compare several identification techniques based on multidimensional… (More)

- James L. Crowley, Olivier Riff
- Scale-Space
- 2003

The characteristic (or intrinsic) scale of a local image pattern is the scale parameter at which the Laplacian provides a local maximum. Nearly every position in an image will exhibit a small number of such characteristic scales. Computing a vector of Gaussian derivatives (a Gaussian jet) at a characteristic scale provides a scale invariant feature vector… (More)

- Véronique Brion, Cyril Poupon, +5 authors Fabrice Poupon
- Medical image computing and computer-assisted…
- 2011

Parallel MRI leads to magnitude data corrupted by noise described in most cases as following a Rician or a non central chi distribution. And yet, very few correction methods perform a non central chi noise removal. However, this correction step, adapted to the correct noise model, is of very much importance, especially when working with Diffusion Weighted… (More)

- Véronique Brion, Cyril Poupon, +5 authors Fabrice Poupon
- Magnetic resonance imaging
- 2013

Parallel magnetic resonance imaging (MRI) yields noisy magnitude data, described in most cases as following a noncentral χ distribution when the signals received by the coils are combined as the sum of their squares. One well-known case of this noncentral χ noise model is the Rician model, but it is only valid in the case of single-channel acquisition.… (More)

- Véronique Brion, Cyril Poupon, +5 authors Fabrice Poupon
- MICCAI
- 2011

- Véronique Brion, Olivier Riff, +4 authors Fabrice Poupon
- ISBI
- 2012

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