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TMI
2010
112views more  TMI 2010»
15 years 5 months ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...
ICCV
2011
IEEE
14 years 6 months ago
Imaging via Three-dimensional Compressive Sampling
Compressive sampling (CS) aims at acquiring a signal at a sampling rate that is significantly below the Nyquist rate. Its main idea is that a signal can be decoded from incomplet...
Xianbiao Shu, Narendra Ahuja
ECCV
2010
Springer
15 years 10 months ago
Accurate Image Localization Based on Google Maps Street View
Abstract. Finding an image’s exact GPS location is a challenging computer vision problem that has many real-world applications. In this paper, we address the problem of finding ...
CVPR
2009
IEEE
17 years 1 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
ICIP
2007
IEEE
16 years 8 months ago
Epipolar Spaces and Optimal Sampling Strategies
If precise calibration information is unavailable, as is often the case for active binocular vision systems, the determination of epipolar lines becomes untenable. Yet, even witho...
James Monaco, Alan C. Bovik, Lawrence K. Cormack