A nonparametric Riemannian framework on tensor field with application to foreground segmentation
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference79 articles.
1. R. Caseiro, J.F. Henriques, P. Martins, J. Batista, A nonparametric Riemannian framework on tensor field with application to foreground segmentation, in: IEEE International Conference on Computer Vision (ICCV), 2011.
2. R. Caseiro, P. Martins, J. Batista, Background modeling on tensor field for foreground segmentation, in: British Machine Vision Conference (BMVC), 2010, pp. 96.1–96.12.
3. R.L. Garcia, M. Rousson, R. Deriche, C. Alberola-Lopez, Tensor processing for texture and colour segmentation, in: Scandinavian Conference on Image Analysis, 2005, pp. 1117–1127.
4. Multidimensional orientation estimation with applications to texture analysis and optical flow;Bigun;IEEE Transactions on Pattern Analysis and Machine Intelligence,1991
5. J. Malcolm, A.Tannenbaum, A graph cut approach to image segmentation in tensor space, in: IEEE Computer Vision and Pattern Recognition (CVPR), 2007, pp. 1–8.
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