Steve
Zucker Computational Vision Group
Professor Steven W. Zucker
The Department of Computer Science
The Department of Electrical Engineering
Applied Mathematics Program
Interdepartmental Neuroscience Program
Center for Computational Vision and Control

Research
People
Publications
Contact

Publications

Selected publications available for download. For a complete list, click here.

  1. Overview
    1. Steven W. Zucker, Differential Geometry from the Frenet Point of View: Boundary Detection, Stereo, Texture and Color, in N. Paragios, Y. Chen, and O. Faugeras (eds.), Mathematical Models of Computer Vision: The Handbook, Springer, 2005.

  2. Stereo
    1. G. Li and S.W. Zucker, Differential Geometric Inference in Surface Stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, (32)1:72-86, 2010.
    2. G. Li and S.W. Zucker, Contextual Inference in Contour-Based Stereo Correspondence, International Journal of Computer Vision, (69)1:59-75, 2006.
    3. G. Li and S.W. Zucker, Differential Geometric Consistency Extends Stereo to Curved Surfaces, In Proc. European Conference on Computer Vision (ECCV'06), Graz, Austria, May 2006.

  3. Texture
    1. O. Ben-Shahar and S.W. Zucker, The Perceptual Organization of Texture Flow: A Contextual Inference Approach , IEEE Transaction on Pattern Analysis and Machine Intelligence 25(4) 401-417, 2003.
    2. Ben-Shahar, O., and Zucker, S.W., On the Perceptual Organization of Texture and Shading Flows: From a Geometrical Model to Coherence Computation", in CVPR'01 (Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Kauai, HI, December 2001), Vol. 1: 1048-1055, IEEE Computer Society, 2001.

  4. Color
    1. O. Ben-Shahar and S.W. Zucker, Hue Geometry and Horizontal Connections, Neural Networks, Special Issue on Vision and Brain, To appear.
    2. O. Ben-Shahar and S.W. Zucker, Hue Fields and Color Curvatures: A Perceptual Organization Approach to Color Image Denoising , In the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Wisconsin, June 2003.

  5. Shading and lighting
    1. Breton, P., and Zucker, S.W., Shadows and Shading Flow Fields, in CVPR'96 (Proc. IEEE Conf. on Computer Vision and Pattern Recognition, San Francisco, CA, June 1996), pp. 782-789, IEEE Computer Society, 1996.
    2. Langer, M.S., and Zucker, S.W., Casting Light on Illumination: A Computational Model and Dimensional Analysis of Sources, Computer Vision and Image Understanding, 65(2): 322-335, 1997.
    3. Langer, M.S., and Zucker, S.W., What is a light source?, in CVPR'97 (Proc. IEEE Conf. on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 1997), pp. 172-178, IEEE Computer Society, 1997. siemens Outstanding Paper Award
    4. Langer, M.S., and Zucker, S.W., Shape from Shading on a Cloudy Day, J. Opt. Soc. Am., A, 11(2): 467-478, 1994.
    5. Huggins, P.S., Chen, H.F., Belhumeur, P.N., and Zucker, S.W., Finding Folds: On the Appearance and Identification of Occlusion, in CVPR'01 (Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Kauai, HI, December 2001), Vol. 2: 718-725, IEEE Computer Society, 2001.

  6. Border ownership and edge classification
    1. Ben-Shahar, O., Huggins, P.S., and Zucker, S.W., On Computing Visual Flows with Boundaries: The Case of Shading and Edges, Biologically Motivated Computer Vision, LNCS 2525, 2002.
    2. Huggins, P.S., and Zucker, S.W., Folds and Cuts: How Shading Flows into Edges, in Proc. IEEE Conf. on Computer Vision, 2001.
    3. Huggins, P.S., and Zucker, S.W., How Folds Cut a Scene, in Proc. Int. Workshop on Visual Form, 2001.

  7. Curve Detection
    1. Iverson, L., and Zucker, S.W., Logical/linear operators for image curves, IEEE Trans. Pattern Analysis and Machine Intelligence, 17(10): 982-996, 1995.
    2. Parent, P., and Zucker, S.W., Trace Inference, Curvature Consistency, and Curve Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 11(8): 823-839, 1989.

  8. Computational Neuroscience
    1. O. Ben-Shahar and S.W. Zucker, Geometrical Computations Explain Projection Patterns of Long Range Horizontal Connections in Visual Cortex , Neural Computation, 16(3): 445-476, 2004.
    2. O. Ben-Shahar, P. Huggins, T. Izo, and S.W. Zucker, Cotrical Connections and Early Visual Function: Intra- and Inter-Columnar Processing , Journal of Physiology, 2003 (In press).
    3. Zucker, S.W., Which Computation Runs in Visual Cortical Columns?, in J. Leo van Hemmen and T. J. Sejnowski (eds.), Problems in Systems Neuroscience, Oxford University Press, 2001.
    4. Miller, D., and Zucker, S.W., Computing with Self-Excitatory Cliques: A Model and An Application to Hyperacuity-scale Computation in Visual Cortex, Neural Computation, 11(1): 21-66, 1999.
    5. Dobbins, A., Zucker, S.W., and Cynader, M.S., Endstopped Neurons in the Visual Cortex as a Substrate for Calculating Curvature, Nature, 329: 438-441, 1987.

  9. Visual Psychophysics
    1. O. Ben-Shahar and S.W. Zucker, Sensitivity to Curvatures Revealed in Orientation-Based Texture Segmentation , Vision Research (In Press).
    2. Elder, J., and Zucker, S.W., Evidence for boundary-specific grouping in human vision, Vision Research, 38(1): 143-152, 1998.
    3. Siddiqi, K., Kimia, B., Tannenbaum, A., and Zucker, S.W., On the psychophysics of the shape triangle, Vision Research, 41(9): 1153-1178, 2001.

  10. Perceptual Organization
    1. Dubuc, B., and Zucker, S.W., Complexity, Confusion, and Perceptual Grouping. Part I: the curve like representation, Int. J. of Computer Vision, 42(1/2): 55-82, 2001; reprinted in J. Math. Imaging and Vision, 15(1/2): 55-82, 2001.
    2. Dubuc, B., and Zucker, S.W., Complexity, Confusion, and Perceptual Grouping. Part II: mapping complexity, Int. J. of Computer Vision, 42(1/2): 83-115, 2001; reprinted in J. Math. Imaging and Vision, 15 (1/2): 83-115, 2001.
    3. Elder, J., and Zucker, S.W., Computing Contour Closure, in B. Buxton and R. Cipolla (eds), ECCV'96 (Proc. Fourth European Conf. on Computer Vision, Cambridge, U.K., April 1996), Vol. 1: 399-412, Springer-Verlag, LNCS 1064, 1996.
    4. August, J., Siddiqi, K., and Zucker, S.W., Ligature Instabilities in the Perceptual Organization of Shape, Computer Vision and Image Understanding, 76(3): 231-243.
    5. August, J., Siddiqi, K., and Zucker, S.W., Contour Fragment Grouping and Shared, Simple Occluders, Computer Vision and Image Understanding, 76(2): 146-162, 1999.
    6. Elder, J., and Zucker, S.W., The Effect of Contour Closure on the Rapid Discrimination of Two-Dimensional Shapes, Vision Research, 33(7): 981-991, 1993.
    7. David, C., and Zucker, S.W., Potentials, Valleys, and Dynamic Global Coverings, International Journal of Computer Vision, 5(3): 219-238, 1990.

  11. Shape Description and Matching
    1. Siddiqi, K., Bouix, S., Tannenbaum, A.R., and Zucker, S.W., Hamilton-Jacobi Skeletons, Int. J. of Computer Vision, to appear, 2002.
    2. Siddiqi, K., Shokoufandeh, A., Dickinson, S., and Zucker, S.W., Shock Graphs and Shape Matching, Int. J. of Computer Vision, 35(1): 13-32, 1999.
    3. Pelillo, M., Siddiqi, K., and Zucker, S.W., Matching hierarchical structures using association graphs, IEEE Trans. Pattern Analysis and Machine Intelligence, 21(11): 1105-1119, 1999.

  12. Surface
    1. Sander, P.T., and Zucker, S.W., Singularities of Principal Direction Fields from 3-D Images, IEEE Trans. Pattern Analysis and Machine Intelligence, 14(3): 309-317, 1992.
    2. Sander, P.T., and Zucker, S.W., Inferring Surface Trace and Differential Structure from 3-D Images, IEEE Trans. Pattern Analysis and Machine Intelligence, 12(9): 833-854, 1990.

  13. Relaxation Labeling and the Theory of Games
    1. Miller, D., and Zucker, S.W., Efficient simplex-like methods for equilibria of nonsymmetric analog networks, Neural Computation, 4(2): 167-190, 1992.
    2. Miller, D., and Zucker, S.W., Copositive-plus Lemke algorithm solves polymatrix games, Operations Research Letters, 10: 285-290, 1991.
    3. Hummel, R.A., and Zucker, S.W., On the foundations of relaxation labeling processes, IEEE Trans. Pattern Analysis and Machine Intelligence, PAMI-5, 267-287, 1983; reprinted in Fischler, M., and Firschein, O., Readings in Computer Vision, Morgan Kaufman, Palo Alto, 1987.
    4. Rosenfeld, A., Hummel, R.A., and Zucker, S.W., Scene Labeling by Relaxation Operations , IEEE Transactions on Systems, Man, and Cybernetics, SMC-6(6): 420-433, 1976.

  14. Geometric Harmonics and Non-linear Dimensionality Reduction
    1. Coifman, R.R., Lafon, S., Maggioni, M., Keller, Y., Szlam, A.D., Warner, F.J., and Zucker, S.W., Geometries of Sensor Outputs, Inference and Information Processing, SPIE, 2006.
    2. Coifman, R.R., Lafon, S., Lee, A.B., Maggioni, M., Nadler, B., Warner, F., and Zucker, S.W., Geometric Diffusions as a Tool for Harmonic Analysis and Structure Definition of Data: Multiscale Methods, PNAS, 102(21): 7432-7437, 2005.
    3. Coifman, R.R., Lafon, S., Lee, A.B., Maggioni, M., Nadler, B., Warner, F., and Zucker, S.W., Geometric Diffusions as a Tool for Harmonic Analysis and Structure Definition of Data: Diffusion Maps, PNAS, 102(21): 7426-7431, 2005.
    4. Coifman, Maggioni, M., Zucker, S.W., and Kevrekidis, I.G., Geometric Diffusions for the Analysis of Data from Sensor Networks, Current Opinion in Neurobiology, 15, 2005.