Image Deblurring in the Presence of Impulsive Noise
L. Bar, N. Sochen and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 70, No. 3, pp. 279-298, 2006.
Piecewise-Smooth Dense Optical Flow via Level Sets
T. Amiaz and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 68, No. 2, pp. 111-124, 2006.
Semi-Blind Image Restoration Via Mumford-Shah Regularization
L. Bar, N. Sochen and N. Kiryati, IEEE Transactions on Image Processing, Vol. 15, No. 2, pp. 483-493, 2006.
Segmentation with Level Sets and Symmetry
T. Riklin-Raviv, N. Sochen and N. Kiryati, Proc. CVPR 2006, New York, USA, June 2006.
Mutual Segmentation with Level Sets
T. Riklin-Raviv, N. Sochen and N. Kiryati, Mutual Segmentation with Level Sets, Proc. 5th IEEE Workshop on Perceptual Organization in Computer Vision (POCV), New York, USA, June 2006.
Compression of Textured Surfaces Represented by Surfel Sets
T. Darom, M.R. Ruggeri, D. Saupe and N. Kiryati, Compression of Textured Surfaces Represented by Surfel Sets, Signal Processing: Image Communication, Vol. 21, pp. 770-786, 2006.
Processing of Textured Surfaces Represented as Surfel Sets: Representation, Compression and Geodesic Paths
T. Darom, M.R. Ruggeri, D. Saupe and N. Kiryati, Compression and Geodesic Paths, Proc. ICIP 2005, Genova, Italy, September 2005, Vol. I, pp. 605-608.
Prior-based Segmentation by Projective Registration and Level Sets
T. Riklin-Raviv, N. Sochen and N. Kiryati, Proc. ICCV 2005, Beijing, China, October 2005, Vol. I, pp. 204-211.
Color Image Deblurring with Impulsive Noise
L. Bar, A. Brook, N. Sochen and N. Kiryati, Proc. VLSM 2005, Beijing, China, October 2005, LNCS 3752, pp. 49-60.
Dense Discontinuous Optical Flow via Contour-based Segmentation
T. Amiaz and N. Kiryati, Proc. ICIP 2005, Genova, Italy, September 2005, Vol. III, pp. 1264-1267.
Image Deblurring in the Presence of Salt and Pepper Noise
L. Bar, N. Sochen and N. Kiryati, Proc. Scale Space 2005, Hofgeismar, Germany, April 2005, LNCS 3459, pp. 107-118.
Photometric Stereo under Perspective Projection
A. Tankus and N. Kiryati, Proc. ICCV 2005, Beijing, China, October 2005, Vol. I, pp. 611-616.
The Point Spread Function of Spiral CT
G. Schwarzband and N. Kiryati, Physics in Medicine and Biology, Vol. 50, pp. 5307-5322, 2005.
Unlevel Sets: Geometry and Prior-based Segmentation
T. Riklin-Raviv, N. Kiryati and N. Sochen, UProc. 8th European Conference on Computer Vision (ECCV'2004), Prague, Czech Republic, May 2004, Part IV, LNCS 3024, pp. 50-61.
Depth from Gradient Fields and Control Points: Bias Correction in Photometric Stereo
I. Horovitz and N. Kiryati, Image and Vision Computing, Vol. 22, pp. 681-694, 2004.
Variational Pairing of Image Segmentation and Blind Restoration
L. Bar, N. Sochen and N. Kiryati, Proc. 8th European Conference on Computer Vision (ECCV'2004), Prague, Czech Republic, May 2004, Part II, LNCS 3022, pp. 166-177.
Algorithm for Facial Weight-Change
U. Danino, N. Kiryati,and M. Furst, Proc. 11th IEEE Int. Conf. on Electronics, Circuits and Systems (ICECS2004), Tel Aviv, Israel, 2004, pp. 318-321.
Virtual Gaze Redirection in Face Images
D. Weiner and N. Kiryati, Proc. 12th Int. Conf. on Image Analysis and Processing (ICIAP 2003), Mantova, Italy, 2003, pp. 76-81.
Voxel-based Surface Area Estimation: From Theory to Practice
G. Windreich, N. Kiryati and G. Lohmann, Pattern Recognition, Vol. 36, pp. 2531-2541, 2003.
Texture Mapping Using Surface Flattening via Multidimensional Scaling
G. Zigelman, R. Kimmel and N. Kiryati, IEEE Transactions on Visualization and Computer Graphics, Vol. 8, pp. 198-207, 2002.
Computational Surface Flattening: A Voxel-based Approach
R. Grossmann, N. Kiryati and R. Kimmel, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 24, pp. 433-441, 2002.
MRI Inter-slice Reconstruction Using Super-Resolution
H. Greenspan, G. Oz, N. Kiryati and S. Peled, Magnetic Resonance Imaging, Vol. 20, pp. 437-446, 2002.
Towards Segmentation from Multiple Cues: Symmetry and Color
R. Shor and N. Kiryati, Lecture Notes in Computer Science (LNCS), Vol. 2032, pp. 142-152, Springer, 2001.
A Computer-Based Method for the Assessment of Body-Image Distortions in Anorexia-Nervosa Patients
D. Harari, M. Furst, N. Kiryati, A. Caspi and M. Davidson, IEEE Transactions on Information Technology in Biomedicine, Vol. 5, pp. 311-319, 2001.
Depth from Defocus vs. Stereo: How Different Really are They?
Y.Y. Schechner and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 39, pp. 141-162, 2000.
Separation of Transparent Layers using Focus
Y.Y. Schechner, N. Kiryati and R. Basri, International Journal of Computer Vision (IJCV), Vol. 39, pp. 25-39, 2000.
Polarization and Statistical Analysis of Scenes Containing a Semireflector
Y.Y. Schechner, J. Shamir and N. Kiryati, J. Opt. Soc. Am. A (JOSA-A), Vol. 17 , pp. 276-284, 2000.
Randomized or Probabilistic Hough Transform: Unified Performance Evaluation
N. Kiryati, H. Kalviainen and S. Alaoutinen, Pattern Recognition Letters, Vol. 21, pp. 1157-1164, 2000.
Heteroscedastic Hough Transform (HtHT): An Efficient Method for Robust Line Fitting in the `Errors in the Variables' Problem'
N. Kiryati and A.M. Bruckstein, Computer Vision and Image Understanding (CVIU), Vol. 78, pp. 69-83, 2000.
Comments on: Robust Line Fitting in a Noisy Image by the Method of Moments
N. Kiryati, Bruckstein and H. Mizrahi, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 22, pp. 1340-1341, 2000.
Vision Through Semi-Reflecting Media: Polarization Analysis
Y.Y. Schechner, J. Shamir and N. Kiryati, Optics Letters, Vol. 24, pp. 1088-1090, 1999.
Towards Optimal Structured Light Patterns
E. Horn and N. Kiryati, Image and Vision Computing, Vol. 17, pp. 87-97, 1999.
Range Imaging with Adaptive Color Structured Light
D. Caspi, N. Kiryati and J. Shamir, IEEE PAMI, Vol. 20, pp. 470-480, 1998.
Detecting Symmetry in Grey Level Images: The Global Optimization Approach
Y. Gofman and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 29, pp. 29-45, 1998.
Guaranteed Convergence of the Hough Transform
M. Soffer and N. Kiryati, Computer Vision and Image Understanding (CVIU), Vol. 69, pp. 119-134, 1998.
Using Multi-Valued Distance Maps for Motion Planning on Surfaces with Moving Obstacles
R. Kimmel, N. Kiryati and A.M. Bruckstein, IEEE Transactions on Robotics and Automation, Vol. 14, pp. 427-436, 1998.
Length Estimation in 3-D Using Cube Quantization
A. Jonas and N. Kiryati, Journal of Mathematical Imaging and Vision, Vol. 8, pp. 215-238, 1998.
Digital Representation Schemes for 3-D Curves
A. Jonas and N. Kiryati, Pattern Recognition, Vol. 30, pp. 1803-1816, 1997.
Analyzing and Synthesizing Images by Evolving Curves with the Osher-Sethian Method
R. Kimmel, N. Kiryati and A.M. Bruckstein, International Journal of Computer Vision (IJCV), Vol. 24, pp. 37-55, 1997.
On the Magic of SLIDE
J. Sheinvald and N. Kiryati, Machine Vision and Applications, Vol. 9, pp. 251-261, 1997.
Deriving Stopping Rules for the Probabilistic Hough Transform by Sequential Analysis
D. Shaked, O. Yaron and N. Kiryati, Computer Vision and Image Understanding (CVIU), Vol. 63, pp. 512-526, 1996.
Sub-pixel Distance Maps and Weighted Distance Transforms
R. Kimmel, N. Kiryati and A.M. Bruckstein, Journal of Mathematical Imaging and Vision, Vol. 6, pp. 223-233, 1996.
Finding Shortest Paths on Surfaces by Fast Global Approximation and Precise Local Refinement
R. Kimmel and N. Kiryati, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 10, pp. 643-656, 1996.
Bit Allocation in Piecewise-Planar Representation of Images
N. Kiryati, A.M. Bruckstein and A. Jonas, Journal of Visual Communication and Image Representation, Vol. 6, pp. 52-58, 1995.
Chain Code Probabilities and Length Estimators for Digitized Three Dimensional Curves
N. Kiryati and O. Kubler, Pattern Recognition, Vol. 28, pp. 361-372, 1995.
Pyramidal Intensity-Ratio Depth Sensor
G. Chazan and N. Kiryati, Department of Electrical Engineering, Technion, Haifa, Israel, October 1995.
Adaptive Termination of Voting in the Probabilistic Circular Hough Transform
A. Yla-Jaaski and N. Kiryati, IEEE PAMI, Vol. 16, pp. 911-915, 1994.
Hough Techniques for Fast Optimization of Linear Constant Velocity Motion in Moving Influence Fields
Y. Pnueli, N. Kiryati and A.M. Bruckstein, Pattern Recognition Letters, Vol. 15, pp. 329-336, 1994.
Estimating Shortest Paths and Minimal Distances on Digitized Three Dimensional Surfaces
N. Kiryati and G. Szekely, Pattern Recognition, Vol. 26, pp. 1623-1637, 1993.
What's in a Set of Points?
N. Kiryati and A.M. Bruckstein, IEEE PAMI, Vol. 14, pp. 496-500, 1992.
A Probabilistic Hough Transform
N. Kiryati, Y. Eldar and A.M. Bruckstein, A Probabilistic Hough Transform, Pattern Recognition, Vol. 24, pp. 303-316, 1991.
Antialiasing the Hough Transform
N. Kiryati and A.M. Bruckstein, CVGIP: Graphical Models and Image Processing, Vol. 53, pp. 213-222, 1991.
On Navigating between Friends and Foes
N. Kiryati and A.M. Bruckstein, IEEE PAMI, Vol. 13, pp. 602-606, 1991.
Digital or Analog Hough Transform?
N. Kiryati, M. Lindenbaum and A.M. Bruckstein, Pattern Recognition Letters, Vol. 12, pp. 291-297, 1991.
Gray Levels Can Improve the Performance of Binary Image Digitizers
N. Kiryati and A.M. Bruckstein, CVGIP: Graphical Models and Image Processing, Vol. 53, pp. 31-39, 1991.
Calculating Geometric Properties from Fourier Representation
N. Kiryati and D. Maydan, Pattern Recognition, Vol. 22, pp. 469-475, 1989.