1.      Hummel, R., “Histogram modification techniques, “Computer Graphics and Image Processing, vol. 4, pp. 209-224, 1975.  (Pdf)  

2.      Rosenfeld, A., and Hummel, R., and Zucker, S., “Scene labeling by relaxation operations,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 6, pp. 420-433, 1976. (Pdf)

3.      Hummel, R., “Image enhancement by histogram transformation,” Computer Graphics and Image Processing, vol. 6, pp. 184-195, 1977. (Pdf)

4.      Hummel, R. and Rosenfeld, A., “Relaxation processes for scene labeling,” IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-8, pp. 765-768, 1978. (Pdf) (Tech Report, Pdf)

5.      Zucker, S., Hummel, R., Rosenfeld, A., “An application of relaxation labeling to line and curve enhancement,” IEEE Transactions on Computers, vol. C-26, pp. 394-403; 922-929, 1978. (Pdf compressed, with corrected figures) (Pdf, cloud)

6.      Zucker, S., and Hummel, R., “An optimal three-dimensional edge operator,” Proceedings of the IEEE Conference on Pattern Recognition and Image Processing, 1979.  (Pdf) (Tech Report, pdf)

7.      Hummel, R., “Feature detection using basis functions,” Computer Graphics and Image Processing, vol. 9, pp. 40-55, 1979. https://doi.org/10.1016/0146-664X(79)90081-9.  (Pdf)

8.      Zucker, S., and Hummel, R., “Toward a low-level description of dot clusters: labeling edge, interior, and noise points,” Computer Graphics and Image Processing, vol. 9, pp. 213-233, 1979. (Pdf, photocopy)

9.      Hummel, R., Panda, D., and Aggarwal, R., “Smart sensor for terminal homing,” Proceedings of the SPIE, 1980. (Pdf)

10.  Hummel, R., and Zucker, S., “On the foundations of relaxation labeling processes,” Proceedings Fifth International Joint Conference on Pattern Recognition, 1980. (Pdf of the journal article) 

11.  Zucker, S., and Hummel, R., “A three-dimensional edge operator,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-3, pp. 324-331, 1981. (Pdf)

12.  Hummel, R., “The hodograph method for convex profiles,” Annali Scuola Normale Superiore -Pisa, vol. 9, pp. 341-364, 1982. (Pdf)

13.  Hummel, R. "On a variational inequality for the hodograph method," in Contemporary Mathematics, vol. 11 (entitled Plane Ellipticity and Related Problems), published by the American Mathematical Society, Robert Gilbert (ed.), pp. 127-137, 1981. (Pdf)

14.  Mohammed, J., Hummel, R., and Zucker, S., “A gradient projection algorithm for relaxation methods,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 5, pp. 330, 1983. (Pdf) (Pdf technical report)

15.  Hummel, R., “Sampling for spline reconstruction,” Society for Industrial and Applied Mathematics, Journal of Applied Math, vol. 43, pp. 278-288, 1983. (Pdf)

16.  Hummel, R., Kimia, B., and Zucker, S., “Deblurring gaussian blur,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1983. (Pdf) (Pdf technical report)

17.  Hummel, R., and Zucker, S., “On the foundations of relaxation labeling processes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-5, pp. 267-287, 1983. (Pdf)

18.  Hummel, R., “A design method for relaxation labeling applications,” Proceedings of the American Association for Artificial Intelligence, vol. 5, 1983.  (Pdf) (Pdf of the tech report)

19.  Zucker, S., and Hummel, R., “Receptive fields and the reconstruction of visual information,” Proceedings of the CSCSI/SCEIO Conference, 1984. (Pdf) (Pdf of the Tech Report)

20.  Hummel, R., “Image processing on the NYU Ultracomputer,” Proceedings of the workshop on Algorithm-Guided Parallel-Architecture for Autonomous Target Recognition, 1984. (Pdf)

21.  Zucker, S., and Hummel, R., “Receptive fields and the representation of visual information,” Proceedings of the Seventh International Conference on Pattern Recognition, pp. 515-517, 1984. (Pdf, poor quality) (Pdf, Tech Report)

22.  Hummel, R., and Gidas, B., “Zero crossings and the heat equation,” New York University, New York City NYU Robotics Report 18, 1984. (Pdf of Tech Report)

23.  Dayton, C., and Hummel, R., “VSH user’s guide: a software environment for image processing,” New York University, New York City NYU Robotics Report 19, 1984. (Pdf)

24.  R. Hummel, B. Kimia, and S. Zucker, “Gaussian blur and the heat equation: forward and inverse solutions,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1985. (Pdf)

25.  Hummel, R., and Rojer, A., “Implementing a parallel connected component algorithm for the NYU Ultracomputer,” Proceedings of the IEEE Workshop on Computer Architecture for Pattern Analysis and Image Database Management, pp. 88-90, 1985. (Pdf)

26.  Carrihill, B., and Hummel, R., “Experiments with the intensity ratio depth sensors,” Computer Vision, Graphics, and Image Processing, vol. 32, pp. 337-358, 1985. (Pdf)

27.  Hummel, R., “Connected component labeling in image processing with MIMD Architectures,” in M.J.B. Duff, ed., Intermediate-Level Image Processing, Chapter Seven, pp. 101-127, Academic Press, 1986. (Pdf)

28.  Zucker, S., and Hummel, R., “Receptive fields and the reconstruction of visual information,” Human Neurobiology, vol. 5, pp. 121-128, 1986. (Pdf)

29.  Landy, M., and Hummel, R., “A brief survey of knowledge aggregation methods,” Proceedings of the International Conference on Pattern Recognition, pp. 248-252, 1986. (Pdf of technical report)

30.  Hummel, R., and Lowe, D., “Computing Gaussian Blur,” Proceedings of the International Conference on Pattern Recognition, pp. 910-912, 1986. (Pdf)

31.  Hummel, R., “Representations based on zero-crossings in scale-space,” Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, pp. 204-209, 1986.  (See https://doi.org/10.1016/B978-0-08-051581-6.50072-6) (Pdf of the a tech report)

32.  Hummel, R., and Manevitz, L., “Combining bodies of dependent information,” Proceedings of the Tenth International Joint Conference on Artificial Intelligence (IJCAI) 1987, pp. 1015-1017, Milan, 1987. (Pdf of the Tech Report)

33.  Hummel, R., and Zhang, K., “Dynamic processor allocation for parallel algorithms in image processing,” Proceedings of the Optical and Digital Pattern Recognition session of the SPIE Conference on EO-Imaging, vol. SPIE Vol. 754, pp. 268-275, 1987. (Pdf) (Pdf of the Tech Report)

34.  Hummel, R., and Moniot, R., “A network approach to reconstructions from zero-crossings,” Proceedings of the IEEE Computer Society Workshop on Computer Vision, pp. 8-13, 1987. (Pdf) (Pdf of Tech Report)

35.  Hummel, R., and Lowe, D., “Computing Large-Kernel Convolutions of Images,” New York University, New York City Technical Report No. 254 Robotics Report No.  84, November, 1986, Revised:  March 1987. (Pdf, Tech Report)

36.  Hummel, R., and Moniot, R., “Solving ill-conditioned problems by minimizing equation error,” Proceedings of the IEEE First International Conference on Computer Vision, pp. 527-533, 1987. (Pdf) (Pdf of the Tech Report)

37.  Hummel, R., and Kimia, B., “Deblurring gaussian blur,” Computer Vision, Graphics, and Image Processing, vol. 38, pp. 66-80, 1987. (Pdf)

38.  Hummel, R., “The scale-space formulation of pyramid data structures,” in Parallel Computer Vision, L. Uhr, Ed. New York: Academic Press, 1987, pp. 107-123. (Pdf of the Tech Report)

39.  Peleg, S., Federbusch, O., and Hummel, R., “Custom made pyramids,” in Parallel Computer Vision, L. Uhr, Ed. New York: Academic Press, 1987, pp. 125-145. (Pdf of the Tech Report)

40.  Hummel, R. "A gentle introduction to the SETL2 programming language," modified and excerpted from "The SETL Programming Language, by Robert B. K. Dewar, excerpted from Programming with Sets: An Introduction to the SETL Programming Language, Dew, Dubinsky, Schonberg and Schwartz (authors), Springer Verlag, 1985.  (Pdf, Tech Report

42.  Hummel, R., and Landy, M., “Evidence as opinions of experts,” in Uncertainty in Artificial Intelligence, J. Lemmer. and L. Kanal, Eds.: North Holland, pp. 43-53, 1988. (Pdf)

43.  Hummel, R., and Wolfson, H., “Affine Invariant Matching,” Proceedings of the DARPA IU Workshop, pp. 351-364, 1988. (Pdf of the Tech Report)

44.  Adelson, E., Simoncelli, E., and Hummel, R., “Sampling strategies for image representations,” Investigative Ophthalmology and Visual Science (Suppl.), vol. 29, pp. 408, 1988. (ARVO Abstract, NYU Listing)

45.  Kalvin, A., Peleg, S. and Hummel, R., “Pyramid segmentation in 2D and 3D using local optimization,” presented at 9^th International Conference on Pattern Recognition, Rome, Italy, 1988. (Pdf)

46.  Hummel, R., and Lowe, D., “Computational considerations in convolution and feature-extraction in images,” in From Pixels to the Features, J. C. Simon, Ed.: Elsevier Science Publishers (North-Holland), pp. 91-102, 1989. (Pdf images from the book)

47.  Hummel, R., and Moniot, R., “Reconstructions from zero-crossings in Scale-space,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, pp. 2111-2130, 1989. (Pdf)

48.  Zucker, S., Iverson, L., Hummel, R., “Coherent compound motion: corners and non-rigid configurations,” Neural Computation, vol. 2, pp. 44-57, 1990. (Pdf) (Pdf of the McGill Tech Report)

49.  Hummel, R., Kelly, R., and Flynn, S. “A set-based language for prototyping parallel algorithms,” Proceedings of the 1991 Computer Architecture for Machine Perception Conference, pp. 132-146, 1991. (Pdf) (Pdf, Tech Report) (Pdf of a presentation)

50.  Hummel, R., and Sundareswaran, V., “Computing motion parameters using the curl of the flow field,” Investigative Ophthalmology and Visual Science (Suppl.), 1991. (Pdf of a Tech Report)

51.  Hummel, R., and Manevitz, L.,  “Statistical approaches to fusion with uncertainty,” Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics, vol. 2, pp. 831-835, 1991. (Purchase IEEE Xplore access) (Pdf of the Tech Report)

52.  Rigoutsos, I, and Hummel, R., “Some results on affine invariant geometric hashing,” presented at Proceedings of the 8^th Israeli Conference on Artificial Intelligence and Computer Vision, Tel Aviv, 1991. (Proceedings lost.  Contact Hummel if you have a copy)

53.  Sundareswaran, V., and Hummel, R., “Computing motion parameters using the curl of the flow field,” presented at Proceedings of the 8^th Israeli Conference on Artificial Intelligence and Computer Vision, Tel Aviv, 1991. (Pdf of the Tech Report)

54.  Rigoutsos, I., and Hummel, R., “Robust similarity invariant matching in the presence of noise,” presented at Proceedings of the 8^th Israeli Conference on Artificial Intelligence and Computer Vision, Tel Aviv, 1991. (Contact Hummel if you have a copy)

55.  Rigoutsos, I., and Hummel, R., “Implementation of geometric hashing on the Connection Machine,” Proceedings of the IEEE Workshop on Directions in Automated CAD-based Vision System, pp. 76-84, 1991 (June). (Purchasable on IEEEExplore)

56.  Rigoutsos, I., and Hummel, R., “Massively parallel model matching: Geometric hashing on the Connection Machine,” IEEE Computer, vol. 25; No.2, pp. 33-42, 1992. (Pdf) (Pdf of a prior TR)

57.  Mann, J., and Hummel, R., “Spherically-based radon transforms for spotlight-mode synthetic aperture radar,” 1993, published in thesis:  J. Mann, Enhanced Signal Processing Techniques for Spotlight Mode Synthetic Aperture Radar and Other Inverse Reconstruction Problems, New York University, 1993.  Technical report.  (Pdf of the Tech Report)

58.  Rigoutsos, I., and Hummel R., “Distributed Bayesian object recognition, a new paradigm,” Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 180-186, 1993. (Pdf of the Tech Report)

59.  Hummel, R., and Sundareswaran, V., “Motion parameter estimation from global flow field data,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, pp. 459-476, 1993. (Pdf) 

60.  Schocken, S., and Hummel, R., “On the use of the Dempster-Shafer model in information indexing and retrieval applications,” International Journal of Man-Machine Studies, vol. 39, pp. 1-37, 1993. (Pdf)

61.  Hummel, R.  “IFF with the SpEcBar,” Technical Report of the Institute for Defense Analyses Defense Science Study Group, 1993. (Pdf) (Pdf of Briefing Charts)

62.  Shocken, S., and Hummel R., “Compromise reaching mechanisms in multi-group/multi-player negotiation processes,” Proceedings of HICSS-27, 1994. (Pdf) (Pdf, Tech Report)

63.  Guéziec, A., and Hummel, R., “The Wrapper Algorithm for Surface Extraction in Volumetric Data,” in Symposium on Applications of Computer Vision in Medical Image Processing. Palo Alto: AAAI, 1994. (Pdf)

64.  Mann, J., and Hummel, R., “Spotlight-mode Synthetic Aperture Radar without Fourier Transforms,” Proceedings of the SPIE Vol. 2230(2), 1994.  Technical report “Synthetic Aperture Radar without Fourier Transforms,” 1992. (Purchase AAAI paper)  (Pdf, Tech Report of the AAAI paper) (Pdf of the Tech Report, Thesis Extract on SAR)

65.  Liu, Jyhjong and Hummel, R., “Geometric Hashing with Attributed Features,” Proceeding of the Second CAD-based vision workshop, 1994. (Pdf)

66.  Guéziec, A., and Hummel, R., “The Wrapper Algorithm: Surface Extraction and Simplification,” IEEE CVPR Workshop on Biomedical Image Analysis, IEEE Computer Vision and Pattern Recognition, pp. 204-13, 1994.  (Purchase at IEEE Explore)

67.  Hummel, R. “Matched Filtering and Bayesian Pattern Matching,” in Proceedings of the NSF/ARPA Workshop on Performance vs. Methodology in Computer Vision, June 24-25, 1994, Seattle WA, following CVPR-94. (Pdf)

68.  Rigoutsos, I., and Hummel, R., “A Bayesian approach to model matching with geometric hashing,” Computer Vision and Image Understanding, vol. 62, pp. 11-26, 1995. (Pdf)

69.  R. Hummel, “Uncertainty reasoning in Object Recognition by Image Processing, in Reasoning with Uncertainty in Robotics, Vol 1093, Springer, pp. 131-145, 1995. (Pdf)

70.  Guéziec, A., and Hummel, R., “Exploiting surface extraction using tetrahedral decomposition,” IEEE Transaction on Visualization and Computer Graphics, vol. 1, No. 4, pp. 328-342, 1995. (Pdf, scan of the journal, Cloud 16MB) (Pdf, Tech Report)

71.  Akerman, A., Patton, R., Delashmit, W., and Hummel R., “Target Identification Using Geometric Hashing and FLIR/LADAR Fusion,” in Reconnaissance, Surveillance, and Target Acquisition for the Unmanned Ground Vehicle: Providing Surveillance “Eyes” for an Autonomous Vehicle, O. Firschein. and T. M. Strat, Eds. San Francisco, CA: Morgan Kaufmann Publishers, 1995. (Pdf)

72.  Geiger, D., Hummel, R., Baldwin, B., Liu, J., and Parida, L., “Feature transform for ATR image decomposition,” Proc. SPIE AERO Sense 95 Conference, SPIE Vol. 2484, 512, 1995. (Pdf) 

73.  Liu, Tyng-Luh, Mike Donahue, Davi Geiger, Robert Hummel, “Image Recognition with Occlusions,” Proceedings of the 4^th European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science Vol. 1064, pp. 556-565, Springer, Cambridge, 1996. https://doi.org/10.1007/BFb0015566. (Pdf, kind of light) (Pdf Tech Report, opens with thumbnails)

74.  Gencer, N., Williamson, S., Gueziec, A., Hummel, R., “Optimal reference electrode selection for electric source imaging,” Electroencephalography and Clinical Neurophysiology, 1996. https://doi.org/10.1016/0013-4694(96)95139-1 (Purchase at Sciencedirect)

75.  Geiger, D., Liu, T., Donahue, M., and Hummel, R., “Sparse representations for image decomposition,” Proceedings of the Computer Vision and Pattern Recognition Conference, 1996. (Purchase/Access in IEEE Explore)

76.  Parida, L., Geiger, D., and Hummel, R., “Kona: A Multi-Junction Detector using Minimum Description Length Principle,” renamed to “Junctions: Detection, Classification, and Reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-20, Vol 20(7), pp 687-698, 1996. (Pdf) (Pdf, slightly better version)

77.  Hummel, R., and Manevitz, L., “Combination Calculi for Uncertainty Reasoning: Representing Uncertainty Using Distributions,” Annals of Mathematics and Artificial Intelligence, 1996. (Purchase/Access at  SpringerLink) (Pdf, Tech Report)

78.  Liu, T., Donohue, M., Geiger, D., and Hummel, R., “Image recognition with occlusions,” Proceedings of the Fourth European Conference in Computer Vision, 1996. (Pdf) (Pdf, Tech Report)

79.  Hummel, R., and Landy, M., “A statistical approach to the representation of uncertainty in beliefs using spread of opinions,” IEEE Trans. on Systems, Man, and Cybernetics, Part A: Systems and Humans, vol. 26, No. 3, 1996.

80.  R. Hummel, “Object recognition research:  Matched filtering becomes Bayesian reasoning,” in Advances in Image Understanding, a Festschrift for Azriel Rosenfeld, Kevin Boyer and Narendra Ahuja (eds.), IEEE Computer Society Press: Los Alamitos, pp 196-208, 1996. (Pdf) (Pdf of the Tech Report)

81.  Radar Signal Processing and its Applications, Jian Li, R. Hummel, P. Stoica, E. Zelnio (eds), Kluwer Academic Press, 2003. (Edited volume) (Available at Amazon)

82.  R. Hummel, “Model-based ATR using Synthetic Aperture Radar,” in proceedings: Radar Conference 2000.  The Record of the IEEE 2000 International, pp. 893-894. 2000. (Pdf)

83.  Yoji Niho and R. Hummel.  Intelligent Bandwidth Compression for SAR Imagery Transmission, Raytheon Technical Report, 2000. (Pdf)

84.  John M. Irvine, Barbara A. Eckstein, Robert A. Hummel, Richard J. Peters and Rhonda Ritzel, "Evaluation of the tactical utility of compressed imagery", Opt. Eng. 41, 1262 (2002). (Pdf)

85.  Bir Bhanu, Ionnis Pavlidis, Robert A. Hummel, “Special issue on computer vision beyond the visible spectrum,” Machine Vision and Applications 5/2000, 11(6) 265-266. (Purchase at SpringerLink)

86.  Lori Westerkamp, T. Wild, D. Meredith, S. Morrison, J. Mossing, R. Avent, A. Bergman, A. Bruckheim, D. Catanon, F. Corbett, D. Hugo, R. Hummel, “Problem set guidelines to facilitate ATR research, development, and performance assessments,” Proceedings of the SPIE – Optical Engineering, 07/2002. (Purchase at SPIE)

87.  W. Trussel, D. Barr, B. Schilling, G. Templeton, L. Mizerka, C. Warner, R. Hummel, R. Hauge, “Multiaspect high-resolution ladar data collection”, Proceedings of the SPIE Volume 5086, Laser Radar Technology and Applications VIII, (21 August 2003); https://doi.org/10.1117/12.503204 (Purchase at SPIE)

88.  Jian Li, Robert Hummel, Petre Stoica, Ed Zelnio, “Guest Editorial,” Multidimensional Systems and Signal Processing, 01/2003. (Purchase at SpringerLink)

89.  R. Hummel, Patrick Cheetham, Justin Rossi, “Science and Technology Leadership, and Technology Grand Challenges,” Synesis: A journal of science, technology, ethics, and policy 2012, 3:G14-39.  At Potomac Institute site: http://www.synesisjournal.com/vol3_g/Hummel_2012_G14-39.pdf. (Pdf)

90.  R. Hummel, Patrick Cheetham, “A perspective on STEM Education,” Synesis 2012, 3(1) T25-36.  At Potomac Institute site:  http://www.synesisjournal.com/vol3_t/Hummel_2012_T25-36.pdf. (Pdf)

91. Robert Hummel, Alternative Futures for Corrosion and Degradation Research, Potomac Institute Press, © 2014, 233 pages. DOI: 10.1179/1478422X15Z.000000000383 (Galleys in the Cloud, 60 Meg) Book available on Kindle.  (A book review --pdf--published in Corrosion Engineering Science and Technology, Sept 2015)

92.  Robert Hummel and Jennifer Lato, “Concerns over the Continued Health and Quality of the US Basic Research Enterprise,” STEPS Magazine, Issue 1, July 2015, published by Potomac Institute Press, In http://www.potomacinstitute.org/steps/images/PDF/STEPSFinal27JulyInteractiveF.pdf.  (Pdf preprint)

93.  Robert Hummel, Richard Pera, Charles Mueller.  “The Decline and Fall of the ITAR Empire,” STEPS Magazine, October 2015, published by Potomac Institute Press, at http://www.potomacinstitute.org/steps/featured-articles/44-the-decline-and-fall-of-the-itar-empire. (Pdf reprint)

94.  Robert Hummel and Kathryn Schiller-Wurster, “Department of Defense Innovation Experiment,” STEPS Magazine, June 2016, published by Potomac Institute Press. At http://www.potomacinstitute.org/steps/featured-articles/83-department-of-defense-s-innovation-experiment.  (Pdf Reprint)

95.  Michael Swetnam, Robert Hummel, Charles Mueller, Paul Syers, Intelligence Complexity, Potomac Institute Press, © 2016, Extended Report. At DIKWIntelligence2AugFINAL.pdf (potomacinstitute.org) (Pdf)

96. Potomac Institute for Policy Studies. Re-Embrace American S&T: Reimagine, Reinvent, Restart, February 2021, at RE-EMBRACE_AMERICAN_S&T.pdf (potomacinstitute.org). (Pdf here)