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Time of flight image Stereo disparity image

James Mure-Dubois' homepage

Infrared image RGB image

Hi, my name is James Mure-Dubois and I'm a software engineer, specialized in digital signal processing. Since January 2015, I'm a research associate in the Vision and Navigation group of Institute of Mecatronic Systems at ZHAW. My research interests include, but are not limited to, 2D and 3D image processing, computer vision (for robotic and medical applications) and low power signal processing.

From January 2013 to June 2014, I was part of the software develoment team at Intermec STC in Toulouse. There, my research projects were focused on innovative image processing solutions for barcode scanning applications.

In previous projects, I worked on SAR (synthetic aperture radar) imaging at the Temasek Laboratories in Nanyang Technical University in Singapore, and on digital signal processing for radar signals used in embedded automotive applications (id4Car ARPOD project and FP7 MOSARIM project) at TeSA (Telecommunications for Space and Aeronautics). Those projects were the occasion for me to benefit from the great experience from researchers at the Signal, Communication, Antennas and Navigation department from ISAE in Toulouse.

Before that, I worked on my PhD thesis in the (now closed) Pattern Recognition Laboratory (PARLAB, formerly at UniNE) in the Institute of Microtechnology (IMT) at EPFL. My research at ParLab focused on data processing algorithms for new 3D sensors, working both at human scale and at the micro-scale. The goal of my PhD thesis was the development of efficient algorithms allowing to perform recognition of 3D objects in real-time. Two fields of application were emphasized: computer vision microscopy for automated assembly (project miniVision) and human presence control systems for security applications (project PersPass) .

You can find my publications here , or have a look at the publications list from my old (and no longer maintained) university webpage. Some of the publications have also been uploaded to EPFL's infoscience website.

Below is an image illustrating the improvement in the range image obtained from a time of flight camera when using a scattering compensation algorithm that I have developed.
Scattering compensation example image (SR-3000 camera)

Then, you can watch those [bad quality :-(] videos, showing a scene acquired with a network of two SR-3000 cameras. In this case, using two cameras allows to remove occlusions.
Right camera point cloud : notice the occlusions behind the person walking Left camera view : occlusions also occur.

Fused point clouds: Occlusions are removed (or reduced).







You can have a look at my publications list from my EPFL personal page, or my old (and no longer maintained) university webpage.

Open Source

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