William T. Freeman

K. Murphy, A. Torralba, D. Eaton, W. T. Freeman, Object detection and localization using local and global features, Lecture Notes in Computer Science (unrefeered). Sicily workshop on object recognition, 2005. pdf file.

M. F. Tappen, W. T. Freeman, and E. H. Adelson, Recovering Intrinsic Images from a Single Image, In IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 27, Issue 9, September 2005, Pages 1459 - 1472 pdf file.

M. F. Tappen, C. Liu, W. T. Freeman, and E. H. Adelson, Gaussian Conditional Random Fields for Low-Level Vision, IEEE Computer Vision and Pattern Recognition (CVPR) 2007 pdf file.

Y. Weiss and W. T. Freeman, What makes a good model of natural images?, IEEE Computer Vision and Pattern Recognition (CVPR) 2007 pdf file. See also MATLAB code from Y.W. and training data.

T. S. Cho, W. T. Freeman and H. Tsao, A reliable skin mole localization scheme, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, In the Proceedings of International Conference of Computer Vision Oct. 14-17, 2007 pdf file.

B. C. Russell, A. Torralba, C. Liu, R. Fergus, W. T. Freeman, Object Recognition by Scene Alignment, To appear in Advances in Neural Information Processing Systems, 2007.

N. Joshi, W. Matusik, S. Avidan, H. Pfister, and W. T. Freeman, Exploring defocus matting: non-parametric acceleration, super-resolution, and off-center matting, to appear in IEEE Computer Graphics and Applications, special issue on Computational Photography, 2007. pdf file. See also project page.

C. Liu, R. Szeliski, S. B. Kang, C. L. Zitnick, and W. T. Freeman, Automatic estimation and removal of noise from a single image, To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2007. pdf file.

C. Liu, H. Y. Shum and W. T. Freeman, Face Hallucination: theory and practice, International Journal of Computer Vision, Vol. 75, no. 1, pp. 115-134, October, 2007. pdf file. See also web page.

A. Levin, R. Fergus, F. Durand, and W. T. Freeman, Image and depth from a conventional camera with a coded aperture, ACM Trans. On Graphics (Proc. SIGGRAPH 2007) pdf file. See also web page.

E. Sudderth, A. Torralba, W. T. Freeman, and A. Willsky, Describing visual scenes using transformed objects and parts, International Journal of Computer Vision, accepted for publication, 2007. pdf file.

B. Russell, A. Torralba, K. Murphy, and W. T. Freeman, LabelMe: a database and web-based tool for image annotation, International Journal of Computer Vision, accepted for publication, 2007. pdf file.

A. Torralba, K. P. Murphy, and W. T. Freeman Sharing visual features for multiclass and multiview object detection IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 29, no. 5, pp. 854-869, May, 2007. (pdf file).

C. Liu, W. T. Freeman and E. H. Adelson, Analysis of contour motions, Advances in Neural Information Processing Systems (NIPS 2006). Received Outstanding Student Paper Award. pdf file. December, 2006.

D. H. Brainard, P. Longere, P. B. Delahunt, W. T. Freeman, J. M. Kraft, and B. Xiao, Bayesian model of human color constancy, Journal of Vision, 6, 1267-1281, http://journalofvision.org/6/11/10/, doi:10.1167/6.11.10. 2006.

A. Torralba, K. Murphy, W. T. Freeman, Shared features for multiclass object detection, Towards Category-Level Object Recognition. Springer Lecture Notes in Computer Science (invited submission). pdf file. 2005.

K. Murphy, A. Torralba, D. Eaton, W. T. Freeman, Object detection and localization using local and global features Lecture Notes in Computer Science (unrefeered). Sicily workshop on object recognition, 2005. pdf file. 2005.

B. Russell, A. Torralba, K. Murphy, W. T. Freeman, LabelMe: a database and web-based tool for image annotation MIT AI Lab Memo AIM-2005-025, pdf file. September, 2005.

A. Torralba, K. P. Murphy and W. T. Freeman, Sharing visual features for multiclass and multiview object detection, In press, IEEE Transactions On Pattern Analysis and Machine Intelligence.

R. Fergus, B. Singh, A. Hertzmann, S. Roweis, and W. T. Freeman, Removing camera shake from a single image, SIGGRAPH 2006. pdf file. See also web page.

E. Sudderth, A. Torralba, W. T. Freeman, and A. Willsky, Depth from familiar objects: a hierarchical model for 3d scenes, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file).

C. Liu, W. T. Freeman, R. Szeliski, and S. B. Kang, Noise estimation from a single image, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file).

B. C. Russell, , A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman, Using multiple segmentations to discover objects and their extent in image collections, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file). "http://people.csail.mit.edu/brussell/research/proj/mult_seg_discovery/index.html"> (web page).

M. Tappen, E. Adelson, and W. T. Freeman, Estimating Intrinsic Component Images using Non-Linear Regression. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) New York, NY, June, 2006. (pdf file).

E. Sudderth, A. Torralba, W. Freeman, and A. Willsky Describing Visual Scenes using Transformed Dirichlet Processes. Neural Information Processing Systems (NIPS), Vancouver, B.C., Dec. 2005. (pdf file).

J. Sivic, B. Russell, A. A. Efros, A. Zisserman, W. T. Freeman, Discovering Objects and their Location in Images International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005. (pdf file).

S. Ravela, A. Torralba, W. T. Freeman An Ensemble Prior of Image Structure for Cross-modal Inference, International Conference on Computer Vision (ICCV), Beijing, China, vol. 1, pp. 871-876, Oct. 2005. (pdf file).

E. Sudderth, A. Torralba, W. Freeman, and A. Willsky Learning Hierarchical Models of Scenes, Objects, and Parts International Conference on Computer Vision (ICCV), Beijing, China, Oct. 2005. (pdf file).

Ce Liu, Antonio Torralba, William Freeman, Fredo Durand, and Edward Adelson, Motion Magnification, SIGGRAPH 2005. pdf file. See also web page.

Antonio Torralba, Kevin P. Murphy, William T. Freeman Contextual Models for Object Detection Using Boosted Random Fields Neural Information Processing Systems (NIPS), Vancouver, B.C., Dec. 2004. (pdf file).

A. Torralba, K. P. Murphy, and W. T. Freeman Sharing visual features for multiclass and multiview object detection IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Washington, DC, 2004. And MIT CSAIL technical report (pdf file).

G. Dalley, W. T. Freeman, and J. Marks Single-frame Text Super-resolution: A Bayesian Approach International Conference on Image Processing (ICIP), Oct. 2004. (pdf file).

M. F. Tappen, B. C. Russell, and W. T. Freeman, Efficient graphical models for processing images IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Washington, DC, 2004. (pdf file).

E. Sudderth, M. Mandel, W. Freeman, and A. Willsky, Visual Hand Tracking Using Nonparametric Belief Propagation. Workshop on Generative Model Based Vision, CVPR, June 2004. (pdf file). Web page and code are here.

E. Sudderth, M. Mandel, W. Freeman, and A. Willsky, Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. in Advances in Neural Information Processing Systems 17 (NIPS), Vancouver, BC, MIT Press, 2005. (pdf file). Web page and code are here.

K. Murphy, A. Torralba, and W. T. Freeman, Using the forest to see the trees: a graphical model relating features, objects, and scenes, in Advances in Neural Information Processing Systems 16 (NIPS), Vancouver, BC, MIT Press, 2004. (pdf file).

A. T. Ihler, E. B. Sudderth, W. T. Freeman, and A. S. Willsky, Efficient multiscale sampling from products of Gaussian mixtures, in Advances in Neural Information Processing Systems 16 (NIPS), Vancouver, BC, MIT Press, 2004. Web page and code are here.

M. F. Tappen, B. C. Russell, and W. T. Freeman, Exploiting the sparse derivative prior for super-resolution and image demosaicing, 3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with Intl. Conf. on Computer Vision), Nice, France, October, 2003. (pdf file).

B. Singh, W. T. Freeman, and D. H. Brainard, Exploiting spatial and spectral image regularities for color constancy, 3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with Intl. Conf. on Computer Vision), Nice, France, October, 2003. (pdf file).

M. F. Tappen and W. T. Freeman, Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters, IEEE Intl. Conference on Computer Vision (ICCV), Nice, France, October, 2003. (pdf file).

A. Torralba, K. P. Murphy, W. T. Freeman, and M. A. Rubin, Context-based vision system for place and object recognition, IEEE Intl. Conference on Computer Vision (ICCV), Nice, France, October, 2003. (pdf file).

W. T Freeman and H. Zhang, Shapetime photography, IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003. (pdf file).

E. B. Sudderth, A. T. Ihler, W. T. Freeman and A. S. Willsky Nonparametric Belief Propagation and Facial Appearance Estimation, IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003. (pdf file). Web page and code are here.

A. Torralba and W. T. Freeman, Properties and Applications of Shape Recipes, IEEE Computer Vision and Pattern Recognition (CVPR), Madison, WI, June, 2003. (pdf file).

W. T. Freeman and A. Torralba, Shape recipes: scene representations that refer to the image in Vision Sciences Society Annual Meeting, May, 2003.

A. Torralba, A. Oliva, and W. T. Freeman, Object Recognition by Scene Alignment, in Vision Sciences Society Annual Meeting, May, 2003.

Marshall F. Tappen, William T. Freeman and Edward H. Adelson Recovering Intrinsic Images from a Single Image in Advances in Neural Information Processing Systems 15 (NIPS), MIT Press, 2003 (pdf file).

William T. Freeman and Antonio Torralba Shape Recipes: Scene Representations that Refer to the Image in Advances in Neural Information Processing Systems 15 (NIPS), MIT Press, 2003 (pdf file).

Antonio Torralba and William T. Freeman Properties and Applications of Shape Recipes MIT Artificial Intelligence Lab Memo 2002-019 (pdf file).

Erik B. Sudderth, Alexander T. Ihler, William T. Freeman and Alan S. Willsky Nonparametric Belief Propagation and Facial Appearance Estimation MIT Artificial Intelligence Lab Memo 2002-020 (pdf file). Web page and code are here.

W. T. Freeman, J. B. Tenenbaum, E. Pasztor, Learning style translation for the lines of a drawing. ACM Transactions on Graphics, January, 2003 (pdf file).

J. S. Yedidia, W. T. Freeman, and Y. Weiss, Constructing Free Energy Approximations and Generalized Belief Propagation Algorithms MERL Technical report TR2002-35, August, 2002. (pdf file).

W. T Freeman and H. Zhang, Shape-time photography, MIT Artificial Intelligence Lab Memo 2002-002, (pdf file).

Joe Marks, William Freeman, and Henry Leitner, Teaching applied computing without programming: a case-based introductory course for general education, Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education, Charlotte, North Carolina, 2001. pdf file.

A. Efros and W. T Freeman, Image quilting for texture synthesis and transfer, SIGGRAPH 2001. pdf file.

M. Bell and W. T. Freeman, Learning local evidence for shading and reflectance, , International Conference on Computer Vision, Vancouver, BC, CANADA, 2001. MERL-TR2001-04.

J. Yedidia, W. T. Freeman and Y. Weiss, Understanding belief propagation and its generalizations International Joint Conference on Artificial Intelligence (IJCAI 2001), Distinguished Papers Track. pdf file.

William T. Freeman, Thouis R. Jones, and Egon C. Pasztor, Example-based super-resolution, IEEE Computer Graphics and Applications, March/April, 2002. (pdf);
MERL technical report:

J. Yedidia, W. T. Freeman, and Y. Weiss Generalized Belief Propagation in Advances in Neural Information Processing Systems 13, edited by T. K. Leen, T. G. dietterich, and V. Tresp, pp. 689-695, 2001. MERL-TR2000-26.

J. W. Fisher, T. Darrell, W. T. Freeman and P. Viola, Learning Joint Statistical Models for Audio-Visual Fusion and Segregation in Advances in Neural Information Processing Systems 13, edited by T. K. Leen, T. G. dietterich, and V. Tresp, pp. 772-778, 2001.

W. T. Freeman, J. A. Haddon, and E. C. Pasztor Learning Motion Analysis To appear in "Statistical Theories of the Brain", edited by R. Rao, B. Olshausen, and M. Lewicki, MIT Press, 2001. MERL-TR2000-32.

W. T. Freeman and E. C. Pasztor Markov networks for super-resolution. Published in Proceedings of 34th Annual Conference on Information Sciences and Systems (CISS 2000), Dept. Electrical Engineering, Princeton University, Princeton, NJ 08544-5263, March, 2000. MERL-TR2000-08.

W. T. Freeman Review of "Biometrics: personal identification in a networked society. Pattern Analysis and Applications, March, 2000 MERL-TR2000-07.

W. T. Freeman, E. C. Pasztor, O. T. Carmichael Learning Low-Level Vision International Journal of Computer Vision, 40(1), pp. 25-47, 2000. MERL-TR2000-05.

Y. Weiss and W. T. Freeman On the optimality of solutions of the max-product belief propagation algorithm in arbitrary graphs. IEEE Trans. Information Theory, Special Issue on Codes on Graphs and Iterative Algorithms, 47(2), pp. 723-735, 2001. MERL-TR99-39.

H. Kage, W. T. Freeman, Y. Miyake, E. Funatsu, K. Tanaka, K. Kyuma. Artificial retina chips as on-chip image processors and gesture-oriented interfaces , in Optical Engineering, Vol. 38, No. 12, December, 1999. MERL-TR2000-06.

Nicholas R. Howe, Michael E. Leventon, William T. Freeman, Bayesian Reconstruction of 3D Human Motion from Single-Camera Video To appear in: Advances in Neural Information Processing Systems 12, edited by S. A. Solla, T. K. Leen, and K-R Muller, 2000. MERL-TR99-37.

Y. Weiss and W. T. Freeman Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. Neural Computation, Vol. 13, No. 10, Oct., 2001, pp. 2173--2200.

Y. Weiss and W. T. Freeman Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. in: Advances in Neural Information Processing Systems 12, edited by S. A. Solla, T. K. Leen, and K-R Muller, 2000. MERL-TR99-38.

W. T. Freeman, P. Beardsley, H. Kage, K. Tanaka, K. Kyuma, C. Weissman. Computer vision for computer interaction , in SIGGRAPH Computer Graphics magazine, November, 1999. MERL-TR99-36.

Y. Weiss and W. T. Freeman Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. Also published as UC Berkeley CS Department TR UCB//CSD-99-1046. MERL-TR99-33.

W. S. Yerazunis, D. L. Leigh, W. T. Freeman, R. S. Bardsley, An Inexpensive, All Solid-state Video and Data Recorder for Accident Reconstruction. Presented at the 1999 SAE International Congress and Exposition in Detroit, Michigan on March 3, 1999. P ublished as SAE Technical Paper number 1999-10-1299. MERL-TR99-29.

William T. Freeman, Egon C. Pasztor, Learning low-level vision. Appeared in IEEE International Conference on Computer Vision, Corfu, Greece, 1999. MERL-TR99-12.

W. T. Freeman, J. B. Tenenbaum, E. Pasztor, An example-based approach to style translation for line drawings. MERL-TR99-11.

William T. Freeman, Egon C. Pasztor, Markov networks for low-level vision. Presented at Workshop on Statistical and Computational Theories of Vision. MERL-TR99-08.

William T. Freeman, Egon C. Pasztor, Learning to estimate scenes from images. Neural Information Processing Systems, volume 11, 1999. MERL-TR99-05.

Joshua B. Tenenbaum, William T. Freeman Separating style and content with bilinear models Neural Computation 12(6), pp. 1247-1283, 2000. (pdf file).

P. Perona and W. T. Freeman, A factorization approach to grouping , in Proceedings, European Conference on Computer Vision, 1998. MERL-TR99-03.

W. T. Freeman, D. Anderson, P. Beardsley, C. Dodge, H. Kage, K. Kyuma, Y. Miyake, M. Roth, K. Tanaka, C. Weissman, W. Yerazunis, Computer vision for interactive computer graphics , in IEEE Computer Graphics and Applications, volume 18, number 3, May--June, pp. 42-53, 1998. (pdf);
MERL-TR99-02.

W. T. Freeman and P. A. Viola, Bayesian model of surface perception, Neural Information Processing Systems, volume 10, pp. 787-793, 1998. MERL-TR98-05.

Michael E. Leventon, William T. Freeman, Bayesian Estimation of 3-D Human Motion MERL-TR98-06.

J. Marks, B. Andalman, P. Beardsley, W. Freeman, S. Gibson, J. Hodgins, T. Kang, B. Mirtich, H. Pfister, W. Ruml, K. Ryall, J. Seims, S. Shieber, Design Galleries: A General Approach to Setting Parameters for Computer Graphics and Animation , ACM Computer Graphics, vol. 31, no. 4, (SIGGRAPH '97) August, 1997. MERL-TR97-14.

D. H. Brainard and W. T. Freeman, Bayesian Color Constancy, Journal of the Optical Society of America, A, 14(7), pp. 1393-1411, July, 1997. pdf file.

W. T. Freeman and J. B. Tenenbaum, Learning bilinear models for two-factor problems in vision , IEEE Conference on Computer Vision and Pattern Recognition (CVPR '97), Puerto Rico, U. S. A., June, 1997. Received Outstanding Paper prize, CVPR '97 MERL-TR96-37.

J. B. Tenenbaum and W. T. Freeman, Separating Style and Content, in Advances in Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan and T. Petsche, Eds., Morgan Kaufmann, San Mateo, CA., 1997. MERL-TR96-36.

W. T. Freeman, Exploiting the generic viewpoint assumption, International Journal Computer Vision, 20 (3), 243-261, 1996. MERL-TR93-15a.

W. T. Freeman, The generic viewpoint assumption in a Bayesian framework, in Perception as Bayesian Inference, D. Knill and W. Richards, eds., Cambridge University Press, 365 - 390, 1996. MERL-TR93-11a.

W. T. Freeman, K. Tanaka, J. Ohta, and K. Kyuma, Computer vision for computer games, 2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, USA, pp. 100--105. MERL-TR96-35.

S. Niyogi and W. T. Freeman, Example-based head tracking, 2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, USA. MERL-TR96-34.

Y. Miyake, W. T. Freeman, J. Ohta, K. Tanaka, and K. Kyuma, A gesture controlled human interface using an artificial retina chip , IEEE Lasers and Electro-Optics (LEOS '96), July, 1996. MERL-TR96-32.

T. Toyoda, Y. Nitta, E. Funatsu, Y. Miyake, W. Freeman, J. Ohta, and K. Kyuma Artificial retina chips as image input interfaces for multimedia systems , Optoelectronics and Communications Conference, OECC'96, Chiba, Japan, July, 1996. MERL-TR96-33.

E. P. Simoncelli and W. T. Freeman, The steerable pyramid: a flexible architecture for multi-scale derivative computation, 2nd Annual IEEE International Conference on Image Processing, Washington, DC. October, 1995. MERL-TR95-15.

W. T. Freeman and D. H. Brainard, Bayesian decision theory, the maximum local mass estimate, and color constancy, Fifth International Conference on Computer Vision, IEEE Computer Society, Cambridge, MA, U.S.A, June, 1995, pp. 210 - 217. MERL-TR94-23.

W. T. Freeman and C. Weissman, Television control by hand gestures, International Workshop on Automatic Face- and Gesture- Recognition, IEEE Computer Society, Zurich, Switzerland, June, 1995, pp. 179--183. MERL-TR94-24.

W. T. Freeman and M. Roth, Orientation histograms for hand gesture recognition, International Workshop on Automatic Face- and Gesture- Recognition, IEEE Computer Society, Zurich, Switzerland, June, 1995, pp. 296--301. MERL-TR94-03.

C. Rich, R. C. Waters, C. Strohecker, Y. Schabes, W. T. Freeman, M. C. Torrance, A. R. Golding, and M. Roth, Demonstration of an interactive environment for collaboration and learning, IEEE Computer, Vol. 27, No. 12, Dec. 1994. MERL-TR94-06.

C. Rich, R. C. Waters, Y. Schabes, W. T. Freeman, M. C. Torrance, A. R. Golding, and M. Roth, An animated online community with artificial agents and spoken interaction, IEEE MultiMedia, Vol. 1, No. 4, Dec. 1994. MERL-TR94-06.

I. Carlbom (course organizer) and W. Freeman, G. Klinker, W. Lorensen, R. Szeliski, D. Terzopoulos, and K. Waters, Computer vision for computer graphics, SIGGRAPH '94 and '95 course notes.

W. T. Freeman, The generic viewpoint assumption in a framework for visual perception, Nature, vol. 368, p. 542 - 545, April 7, 1994. reprint.

D. H. Brainard and W. T. Freeman, Bayesian method for recovering surface and illuminant properties from photosensor responses, in Human Vision, Visual Processing and Digital Display V, SPIE Proceedings Series, vol. 2179, 1994.

E. H. Adelson, P. Sinha, and W. T. Freeman, Building and using catalogs of grey-level junctions, Proc. 15th European Conference on Visual Perception, Edinburgh, Scotland. August, 1993.

W. T. Freeman, Exploiting the generic view assumption to estimate scene parameters, IEEE International Conference on Computer Vision, Berlin, Germany, 1993.

W. T. Freeman, Steerable Filters and Local Analysis of Image Structure, Ph.D. Thesis, Massachusetts Institute of Technology, 1992. Abstract , pdf file of thesis (2.3 Mbytes). Also available as Vision and Modeling Technical Report 190, MIT Media Laboratory.

E. P. Simoncelli, W. T. Freeman, E. H. Adelson and D. J. Heeger. Shiftable Multi-Scale Transforms. IEEE Trans. Information Theory, Special Issue on Wavelets. Vol. 38, No. 2, pp. 587-607, March 1992. Abstract / Full (1.1M) pdf (2.1M)

W. T. Freeman and E. H. Adelson, The design and use of steerable filters, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 13, no. 9, pp. 891 - 906, September, 1991. MIT Vision and Modeling Group TR 126. Also available as pdf file.

W. T. Freeman, E. H. Adelson, and D. J. Heeger, Motion without movement, ACM Computer Graphics, vol. 25, no. 4, (SIGGRAPH '91), pp. 27 - 30, July, 1991.

W. T. Freeman and E. H. Adelson, Steerable filters for early vision, image analysis, and wavelet decomposition, IEEE International Conference on Computer Vision, Osaka, Japan, 1990.

E. H. Adelson, E. P. Simoncelli, and W. T. Freeman, Pyramids and multiscale representations, Proc. 13th European Conference on Visual Perception, Paris, 1990.

J. G. Chen, Q. Tian, and W. T. Freeman, A neural network for image noise removal (in Chinese), 1st National Conference on Neural Networks and their Applications, Beijing, 1990.

W. T. Freeman, J. G. Chen, and Q. Tian, Applications of neural networks in image processing (in Chinese), Automation Soc. of China Symp. on Neural Networks, pp. 46 - 55, Beijing, 1989.

W. T. Freeman and E. H. Adelson, Steerable filters, OSA Topical Meeting on Image Understanding and Machine Vision, Technical Digest Series Volume 14, June, 1989.

W. T. Freeman, Image processing to remove grain from photographs, Society of Photographic Scientists and Engineers 42nd Annual Conference, pp. 457 - 460, May, 1989.

E. J. Kirkland, W. T. Freeman, M. Ohtsuki, M. S. Isaacson, and B. S. Siegal, Computer Image Processing of STEM Images of Tobacco Mosaic Virus, Ultramicroscopy 6, 367-76 (1981).

V. R. Eschleman, G. L. Tyler and W. T. Freeman, Deep Radio Occultations and 'Evolute Flashes': Their Characteristics and Utility for Planetary Studies, Icarus 37, 612-26 (1979).