Inverse Problems in Vision and 3D Tomography (Digital Signal and Image Processing)

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Digital Filters Design for Signal and Image Processing

Information criteria: examples of applications in signal and image processing, Christian Olivier, Olivier Alata. Quadratic programming and machine learning.


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Optimizing emissions for tracking and pursuit of mobile targets, Jean-Pierre Le Cadre. Bayesian inference and Markov models, Christophe Collet.


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Biological metaheuristics for road sign detection, Guillaume Dutilleux, Pierre Charbonnier. Metaheuristics for continuous variables. A practical testbed has been developed and is being upgraded. An accuracy of a few millimeters has been achieved for indoor positioning over distances of about ten meters and with obstacles.

Source coding and channel coding or decoding and transmission are often designed independently. This research track investigates scenarios where there is advantage or potential in jointly designing the encoders or decoders.


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The research focuses on bounds for some techniques, and practical schemes applying this philosophy, in particular for sensor networks. Networked media.

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Image and video compression algorithms are investigated, including for stereo and multi-view contents. Visually pleasant and fluent video streaming or image browsing are implemented by adapting compression and forwarding mechanisms to network and terminal resources. For low bandwidth wireless accesses, interactive streaming architectures are investigated to allow the end-user to control the trade-offs involved when reducing the spatial and temporal resolution of the streamed content.

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Intelligent vision. Application domains include autonomous production of visual reports e.

Resource constrained allocation solutions are also proposed to build automatically personalized summaries of edited video feeds. Inverse problems and sparsity. Another field of research is the solving of inverse problems from generalized sparsity prior with applications in optics and X-ray CT , Compressed Sensing theory and application , theoretical questions linked to the design of new sensors for computer vision , applied mathematics for astronomical and biomedical signal processing questions, and representation of data on strange spaces e.

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Tomographic reconstruction - Wikipedia

Community detection for hierarchical image segmentation. This project aims at detecting segments or contours of objects in a given picture by means of graph-based techniques that unfold the community structures in a large graph.

Description

The communities found are also hierarchical, allowing to find subregions inside an object. Below are listed the 10 most recent journal articles and conference papers produced in this research area.

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