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Michael Werman
Michael Werman
The Hebrew University
Bestätigte E-Mail-Adresse bei mail.huji.ac.il - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Gradient domain high dynamic range compression
R Fattal, D Lischinski, M Werman
Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 671-678, 2023
19362023
Fast and robust earth mover's distances
O Pele, M Werman
2009 IEEE 12th international conference on computer vision, 460-467, 2009
11692009
Linear time Euclidean distance transform algorithms
H Breu, J Gil, D Kirkpatrick, M Werman
IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (5), 529-533, 1995
6401995
A linear time histogram metric for improved sift matching
O Pele, M Werman
Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008
4442008
The quadratic-chi histogram distance family
O Pele, M Werman
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
3612010
Color lines: Image specific color representation
I Omer, M Werman
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004
3612004
Texture mixing and texture movie synthesis using statistical learning
Z Bar-Joseph, R El-Yaniv, D Lischinski, M Werman
IEEE Transactions on visualization and computer graphics 7 (2), 120-135, 2001
3432001
Automatic recovery of the atmospheric light in hazy images
M Sulami, I Glatzer, R Fattal, M Werman
2014 IEEE International Conference on Computational Photography (ICCP), 1-11, 2014
2642014
Self-organization in vision: stochastic clustering for image segmentation, perceptual grouping, and image database organization
Y Gdalyahu, D Weinshall, M Werman
IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (10), 1053 …, 2001
2602001
A distance metric for multidimensional histograms
M Werman, S Peleg, A Rosenfeld
Computer Vision, Graphics, and Image Processing 32 (3), 328-336, 1985
2601985
A unified approach to the change of resolution: Space and gray-level
S Peleg, M Werman, H Rom
IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (7), 739-742, 1989
2471989
Computing 2-D min, median, and max filters
J Gil, M Werman
IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (5), 504-507, 1993
2461993
Affine invariance revisited
E Begelfor, M Werman
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
2142006
Similarity and affine invariant distances between 2D point sets
M Werman, D Weinshall
IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (8), 810-814, 1995
207*1995
Trilinearity of three perspective views and its associated tensor
A Shashua, M Werman
Proceedings of IEEE International Conference on Computer Vision, 920-925, 1995
1811995
A Bayesian method for fitting parametric and nonparametric models to noisy data
M Werman, D Keren
IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (5), 528-534, 2001
151*2001
Simulation of rain in videos
S Starik, M Werman
Texture Workshop, ICCV 2, 406-409, 2003
1502003
Fusing time-of-flight depth and color for real-time segmentation and tracking
A Bleiweiss, M Werman
Workshop on Dynamic 3D Imaging, 58-69, 2009
1152009
Min-max operators in texture analysis
M Werman, S Peleg
IEEE transactions on pattern analysis and machine intelligence, 730-733, 1985
1131985
Fundamental tensor: On the geometry of three perspective views
A Shashua, M Werman
ICCV’95, 1995
111*1995
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