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Ballester Nicolau Coloma

Lecturer
Departament de Tecnologies de la Informació i les Comunicac
University Pompeu Fabra
Spain

Biography

Since 1999 Coloma Ballester is an Associate Professor at our Department. She obtained a degree in Mathematics at the U. Autònoma de Barcelona, a Master "Mathématiques Appliquées à l'Ingénierie" at the U.Paris-IX in 1992 and a Ph.D. in Computer Science at the U. Illes Balears in 1995. After her Ph.D., she worked at UIB until 1997, and at the CNRS at IHP in Paris, in 1998. Her research interests include image processing and computer vision. She is currently interested in depth computation, stereo vision and 3D reconstruction, motion estimation, video inpainting and stereo video inpainting, film post-production algorithms, shape recognition, geometric models, and in general in variational models for image processing and computer vision. As of October 2014, she has authored over 36 articles in high impact-factor international journals and conferences, receiving more than 3900 citations in GS. I am an Associate Professor (TU) at the Dept de Tecnologies de la Informació i les Comunicacions of the Universitat Pompeu Fabra in Barcelona since 1999. My research interests include image and video processing and computer vision. In particular, I'm currently interested in image and video comparison, motion estimation and scene flow, perception and automatic image and video analysis and understanding, depth computation, stereo vision and 3D reconstruction, video inpainting and stereo video inpainting, film post-production algorithms, shape recognition, geometric models, and in general in variational models for image processing and computer vision.

Research Interest

Animation, digital media

Publications

  • Vadim Fedorov and Coloma Ballester. An Affine Invariant Patch Similarity. IPOL Journal Image Processing On Line, Preprint. 2017.

  • FALDOI: a new minimization strategy for large displacement variational optical flow. R. P.Palomares, E. Meinhardt-Llopis, C. Ballester, G. Haro. Journal of Mathematical Imaging and Vision, vol. 58 (1), pp. 27-46. 2017.

  • Affine Non-local Means Image Denoising. Vadim Fedorov, and Coloma Ballester. IEEE Transactions on Image Processing, Vol. 26 (5), pp. 2137-2148. 2017. DOI: 10.1109/TIP.2017.2681421

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