University of Bristol > Visual Information Laboratory > Adeline Paiement


Adeline Paiement


About Me

I am a post-doctoral researcher in the Visual Information Laboratory at the University of Bristol. I am working within the SPHERE (Sensor Platform for HEalthcare in a Residential Environment) project on automatic methods for analysis and assessment of the quality of movements from RGB-depth images, with applications in rehabilitation and elderly people monitoring.

I also completed my PhD at the University of Bristol, under the supervision of Prof. Majid Mirmehdi. My PhD research was on the modelling of 3D and 4D objects from sparse and misaligned data in the frame of the analysis of cardiac cine MRIs.

Me

Latest News

Research Projects

Movement's quality assessment

Online quality assessment of human movement from depth based skeleton

The aim of this project is to estimate the quality of movements from Kinect skeleton data and on a frame-by-frame basis. We combine a manifold learning technique (for dimensionality reduction) and statistical models in order to asesss the quality of movements by comparison with a model of normal movement. This methodology may be used to evaluate the gait on stairs, or sitting and standing movements, in order, for example, to assist clinicians in assessing pathologies and monitoring rehabilitation.

Examples of modelling

Integrated Registration, Segmentation and Interpolation of Sparse and Misaligned 3D/4D Data

This project aims at investigating new methods to model 3D and 4D objects from datasets made of several, misaligned, acquisitions which do not span the whole imaged volume, and which have arbitrary spatial configurations. I developed a new level set framework which can inherently handle sparse data thanks to the interpolation of the level set implicit function by Radial Basis Functions. This new framework also integrates a registration method, in order to deal with misalignments in the data. It has been applied succesfully to medical images made of 2D image slices having various positions and orientations and gap sizes, as well as to 3D point clouds produced by the Kinect camera.

Publications

Journal Papers

Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark Hamilton, Integrated Segmentation and Interpolation of Sparse Data. IEEE Transactions on Image Processing, Vol. 23, Issue 1, pp. 110-125, 2014. [External information]

C. M. Boily, T. Padmanabhan, A. Paiement, Regular Black Hole Motion and Stellar Orbital Resonances. Monthly Notices of the Royal Astronomical Society, Vol. 383, Issue 4, pp. 1619-1638, 2008.

Peer-reviewed Conference Papers

Adeline Paiement, Lili Tao, Sion Hannuna, Massimo Camplani, Dima Damen, Majid Mirmehdi, Online quality assessment of human movement from skeleton data. Proceedings of British Machine Vision Conference (BMVC) 2014,September 2014. [pdf]

Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark Hamilton, Simultaneous Level Set interpolation and segmentation of short- and long-axis MRI. Proceedings of Medical Image Understanding and Analysis (MIUA) 2010, pp. 267-272. July 2010. [pdf]

Other Conference Papers

C. M. Boily, T. Padmanabhan, A. Paiement, Black Hole Motion as Catalyst of Orbital Resonances. Dynamical Evolution of Dense Stellar Systems, Proceedings of the International Astronomical Union Symposium No. 246, Vol. 3, pp. 311-315. 2007.

Conference Abstracts

Adeline Paiement, Lili Tao, Sion Hannuna, Massimo Camplani, Dima Damen, Majid Mirmehdi, Online quality assessment of human movement from skeleton data - Extended abstract. Proceedings of British Machine Vision Conference (BMVC) 2014,September 2014. [pdf]

Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark Hamilton, Integrated Registration, Segmentation and Interpolation of Sparse Medical Data. Rank Prize Symposium on Medical Imaging Meets Computer Vision, March 2013.

Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark Hamilton, Integrated Registration, Segmentation and Interpolation of Cardiac Cine MRI. British Society of Cardiovascular Imaging Annual Spring Meeting, May 2013.

Google Scholar

Contact

Department of Computer Science
University of Bristol
1.15 Merchant Venturers Building
Woodland Road, BRISTOL, BS8 1UB
United Kingdom

csatmp@bristol.ac.uk

+44 (0)117 33 15233


updated: 23/07/2014