University of Bristol > Visual Information Laboratory > Adeline Paiement
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. Its main application is the automatic analysis of medical images, such as cardiac cine MRIs.
- May 2014: I have been awarded the PhD degree by the University of Bristol with the Faculty of Engineering Commendation.
- October 2013: I am joining the SPHERE Project as a research assistant in video monitoring.
- July 2013: I am co-organising the Student Workshop of BMVC2013, which is hold in Bristol on the 13th of September.
I am 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. To this end, 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.
Journal PapersAdeline 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 PapersAdeline 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 PapersC. 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 AbstractsAdeline 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.
Department of Computer Science
+44 (0)117 33 15233