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Efficient approximate foreground detection for low-resource devices., , , , and . ICDSC, page 1-8. IEEE, (2009)Optimal camera selection in vision networks for shape approximation., , , , and . MMSP, page 46-51. IEEE Signal Processing Society, (2008)Camera selection for tracking in distributed smart camera networks., , , and . ACM Trans. Sens. Networks, 10 (2): 23:1-23:33 (2014)PhD forum: Dempster-Shafer based camera contribution evaluation for task assignment in vision networks., , , and . ICDSC, page 1-2. IEEE, (2009)Context adaptive image denoising through modeling of curvelet domain statistics., , , , and . J. Electronic Imaging, 17 (3): 033021 (2008)Principal view determination for camera selection in distributed smart camera networks., , , , and . ICDSC, page 1-10. IEEE, (2008)Extending the Depth of Field in Microscopy Through Curvelet-Based Frequency-Adaptive Image Fusion., , , and . ICASSP (1), page 861-864. IEEE, (2007)Sub-optimal Camera Selection in Practical Vision Networks through Shape Approximation., , , , and . ACIVS, volume 5259 of Lecture Notes in Computer Science, page 266-277. Springer, (2008)Image fusion using blur estimation., , , and . ICIP, page 4397-4400. IEEE, (2010)Information selection and fusion in vision systems.. Ghent University, Belgium, (2010)base-search.net (ftunivgent:oai:archive.ugent.be:1860591).