PhD Thesis Position: Vision based Robot Navigation: a visual attention approach, France
Job Description: The 3D vision team of the LE2I laboratory at Université de Bourgogne, Le Creusot in France, and the Hubert Curien Laboratory at Université de St-Etienne in France, are seeking a highly motivated PhD candidate in the field of Computer Vision and Image Processing. The PhD student will work in a multi-disciplinary and multi-cultural environment between both laboratories.
Context: Many computer vision applications require the detection, localization and tracking of regions/objects of interest in an image or a video.Biologically motivated approaches that automatically find regions of interest based on concepts of the human visual system have proved to be effective solutions in different applications. However, most of existing techniques are limited to the analysis of static images and few methods exploit the temporal components of video sequences.
In the context of autonomous navigation, a mobile robot needs to locate and move itself in uncontrolled environments. A camera can be used as principal or unique sensor to achieve autonomous navigation through the task of SLAM (Simultaneous Localization and Map building applications). However, a key requirement in visual SLAM is the ability to detect useful landmarks which are easy to track and stable over time [1].
Objectives
The goals of the thesis are twofold:
1. Firstly, we aim at analysing different proposed saliency models and develop a spatio-temporal saliency model based on human visual speed perception [2, 3].
2. Secondly, the saliency model will be used for a mobile robot navigation problem. This includes answering the following question:
- How does an attention/saliency model can help in robot’s self localization?
- How can an attention/saliency model be used for automatic landmark selection and tracking is visual SLAM?
- How does a motion segmentation model can be used to detect/track salient moving object from background?
Special attention will be given to non-deterministic approaches (e.g. particle filters models) and to the computational complexity of the developed approach.
The algorithms will be tested on a mobile robots platform.
Application
Candidates should have a strong mathematical and statistical background, with an MSc or equivalent degree in one of the following fields: Computer Science, Electrical Engineering, Mathematics, and Physics.
Knowledge of Signal/ Image Processing is highly desirable. Knowledge of Robotics is useful.
Candidates should have excellent programming skills (eg. Matlab, C/C++) and should be fluent in English.
The successful candidate is expected to start on September or October 2010, and complete his PhD in 3 years.
Applicants should send their CVs, letter of intentions and one or two recommendation letters (with contact details) before June 30th to:
Contact Person: Dr Désiré Sidibé:dro-desire.sidibe@u-bourgogne.fr
Further Scholarship Information and Application
Scholarship Tags: Computer vision, France, image processing, PhD
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