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» Recognition of Enhanced Images
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VMV
2000
157views Visualization» more  VMV 2000»
15 years 8 months ago
Visualization of Principal Curvature Directions by Anisotropic Diffusion
Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges a...
Udo Diewald, Martin Rumpf
173
Voted
AROBOTS
2007
128views more  AROBOTS 2007»
15 years 6 months ago
Visual homing in environments with anisotropic landmark distribution
Gradient descent in image distances can lead a navigating agent to the goal location, but in environments with an anisotropic distribution of landmarks, gradient home vectors devia...
Ralf Möller, Andrew Vardy, Sven Kreft, Sebast...
163
Voted
TIP
1998
103views more  TIP 1998»
15 years 6 months ago
Orientation diffusions
Abstract—Diffusions are useful for image processing and computer vision because they provide a convenient way of smoothing noisy data, analyzing images at multiple scales, and en...
Pietro Perona
TMM
2002
158views more  TMM 2002»
15 years 6 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective crite...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
ECCV
2008
Springer
16 years 8 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...