Andreas Savakis

 

   Professor
   Department of Computer Engineering

   Office: GLE B9/3465           Map of RIT
   Email: andreas(dot)savakis(at)rit(dot)edu

 

  American Council on Education Fellow, 2011-12  

 


About

Research

Publications

Teaching

Service

Education

Ph.D. in Electrical Engineering with Mathematics Minor, North Carolina State University
M.S. in Electrical Engineering, Old Dominion University
B.S. in Electrical Engineering, Old Dominion University

 

Professional Experience

Honors and Awards

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Teaching

Course material is posted at https://mycourses.rit.edu

 
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Professional Service

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Research

Computer Vision

Methods

Image Processing and Multimedia

Hardware and Architectures

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Publications

Journals and Book Chapters (selected)

  1. R. Ptucha and A. Savakis, “LGE-KSVD: Robust Sparse Representation Classification,” IEEE Trans. Image Processing, vol. 23(4), pp. 1737-1750, April 2014.
  2. R.W. Ptucha, A. Savakis, “Facial Expression Recognition”, Encyclopedia of Information Science and Technology, 3rd Edition, IGI Global, Hershey, PA, 2014.
  3. R. Ptucha and A. Savakis, “Manifold Based Sparse Representation for Facial Understanding in Natural Images”, Image and Vision Computing, vol. 31, pp. 365–378, May 2013.
  4. Tommy P. Keane, Eli Saber, Harvey Rhody, Andreas Savakis, and Jeffrey Raj, “Practical image registration concerns overcome by the weighted and filtered mutual information metric,” Journal of Electronic Imaging, vol. 21(2), Apr-Jun 2012.
  5. G. Tsagkatakis and A. Savakis, “Online Distance Metric Learning for Object Tracking,” IEEE Trans. Circuit and Systems for Video Technology, vol. 21(12), pp. 1810-1821, Nov. 2011.
  6. G. Tsagkatakis and A. Savakis, “Face Detection in Resource Constrained Wireless Systems,” in Mobile Multimedia Processing: Fundamentals, Methods and Applications, X. Jiang, M. Ma and C. Chen Eds., Springer Verlag, 2010.
  7. J. S. Schildkraut, N. Prosser, A. Savakis, J. Gomez, A. Singh, D. Nazareth, H. K. Malhotra, “Level Set Segmentation of Pulmonary Nodules in Megavolt Electronic Portal Images Using a CT Prior,” Medical Physics, Nov. 2010.
  8. A. Savakis, J. Luo, and M. Kane, “Bayesian Networks for Image Understanding,” in Bayesian Network Technologies: Applications and Graphical Models, A. Mittal and A. Kassim Eds., IGI Global, 2007.
  9. J. Luo, A. Savakis and A. Singhal, “A Bayesian Networks-based Framework for Semantic Image Understanding,” Pattern Recognition Journal, pp. 919-934, June 2005.
  10. A. Savakis and J. Smith, “Multilevel Color Dropout: Algorithms and Media Processor Implementation, Journal of Electronic Imaging, vol 14(1), Jan-Mar 2005.
  11. N. Serrano, A. Savakis and J. Luo, “Improved Scene Classification Using Efficient Low-level Features and Semantic Cues,” Pattern Recognition, vol. 37, pp. 1773-1784, Sep. 2004.
  12. A. Loui and A. Savakis, “Automated Event Clustering and Quality Screening of Consumer Pictures for Digital Albuming,” IEEE Trans. Multimedia, vol. 5(3), pp. 390-402, Sep. 2003.
  13. S. Maggelakis and A. Savakis, “Modeling Techniques in Epidermal Wound Healing,” in Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems, Vol. 2, C. Leondes, Ed., Kluwer Academic Publishers, 2003.
  14. A. Savakis, "Evaluation of Lossless Compression Methods for Continuous Tone Document Images," Journal of Electronic Imaging, vol. 11(1), pp. 79-86, Jan. 2002.
  15. J. Luo and A. Savakis, “Self-Supervised Texture Segmentation using Complementary Types of Features, Pattern Recognition, vol. 34, pp. 2071-2082, Nov. 2001.

Conferences and Workshops (selected)

  1. B. Minnehan and A. Savakis, “Aerial Video Mosaicking Using Binary Feature Tracking” SPIE Defense and Security Conference, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications, Baltimore, MD, 2015.
  2. A. Savakis, M. F. Quraishi, B. Minnehan, “Mobile Object Tracking Using Binary Descriptors,” IS&T/SPIE Electronic Imaging, Imaging and Multimedia Analytics in a Web and Mobile World, San Francisco, CA, 2015.  (Invited Paper)
  3. B. Minnehan, H. Spang, and A. Savakis, “Robust and Efficient Tracker using Dictionary of Binary Descriptors and Locality Constraints”, Int. Symposium Visual Computing, ISVC 2014, Las Vegas NV, Dec. 2014.
  4. A. Savakis, R. Rudra and R. Ptucha, “Gesture Control Using Active Difference Signatures and Sparse Learning,” Int. Conference Pattern Recognition, ICPR 2014, Stockholm, Sweden Aug. 2014.
  5. M. Johnston and A. Savakis, “Fast L1-Eigenfaces for Robust Face Recognition,” IEEE Western NY Image and Signal Proc. Workshop, Nov. 2014.
  6. K. Moirogiorgou, M. Zervakis, I.A. Sibetheros, and A E. Savakis “Statistical Estimation of Fluid Flow,” Int. Symposium Visual Computing, ISVC 2014, Las Vegas NV, Dec. 2014.
  7. K. Bacharidis, K. Moirogiorgou, I.A. Sibetheros, A E. Savakis and M. Zervakis, “River Flow Estimation using Video Data,” IEEE Int. Conf. Imaging Systems and Techniques (IST), Santorini, Greece, Oct. 2014. (Best Student Paper Award)
  8. A. Savakis, R. Sharma and M. Kumar, “Efficient Eye Detection using HOG-PCA Descriptor,” IS&T/SPIE Electronic Imaging, Imaging and Multimedia Analytics in a Web and Mobile World, San Francisco, CA, 2014.
  9. R. Ptucha, S. Azary and A. Savakis, “Keypoint Matching and Image Registration using Sparse Representations,” Int. Conf. Image Processing, ICIP2013, Melbourne Australia, 2013.
  10. C. Bellmore, R. Ptucha, and A. Savakis, “Fusing of Depth and Color for an Improved Active Shape Model,” ICIP 2013, Int. Conf. Image Processing, Melbourne Australia, 2013.
  11. S. Azary and A. Savakis, “Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition,” CVPR Workshop on Human Activity Understanding from 3D Data, Portland OR, 2013.
  12. R. Ptucha and A. Savakis, “LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification,” CVPR Workshop on Analysis and Modeling of Faces and Gestures, Portland OR, 2013.
  13. S. Azary and A. Savakis, “Grassmannian Spectral Regression for Action Recognition,” ISVC 2013, Int. Symposium on Visual Computing, 2013. (Best Paper Award)
  14. R. Ptucha and A. Savakis, “Joint Optimization of Manifold Learning and Sparse Representations,” IEEE Int. Conf. Automatic Face and Gesture Recognition, FG2013, Shanghai, China, 2013.
  15. K. Moirogiorgou, D. Efstathiou, M. Zervakis, N. Nikolaidis, G. Stamatellos, I. Andreadis, N. Georgoulas and A. Savakis, “High Frequency Monitoring System for Integrated Water Resources Management of Rivers,” EWaS-MED International Conference, Thessaloniki, Greece, April 2013.
  16. T. Knack and A. Savakis, “Real-time content-aware video retargeting for tunnel vision assistance,” IS&T and SPIE Electronic Imaging, San Francisco, CA, Feb. 2013.
  17. R. Ptucha and A. Savakis, “Fusion of Static and Temporal Predictors for Unconstrained Facial Expression Recognition,” IEEE Int. Conf. Image Processing, ICIP 2012, Orlando, FL, Sep. 2012.
  18. S. Azary and A. Savakis, “A Spatiotemporal Descriptor based on Radial Distances and 3D Joint Tracking for Action Classification,” IEEE Int. Con. Image Processing, ICIP 2012, Orlando, FL, Sep. 2012.
  19. A. Savakis, M. Stump, R. Melton, G. Behm and G. Sterns, “Low Vision Assistance using Face Detection and Tracking on Android Smartphones,” IEEE Midwest Symposium on Circuits and Systems, Boise, ID, Aug. 2012. (Invited Paper)
  20. R. Ptucha and A. Savakis, “How Connections Matter: Factors Affecting Student Performance in STEM Disciplines,” IEEE Integrated STEM Education Conference, Princeton, NJ, 2012.
  21. S. Azary and A. Savakis, “3D Action Classification Using Sparse Spatio-Temporal Feature Representations,” Advances in Visual Computing, Lecture Notes in Computer Science, Science, Int. Symposium Visual Computing ISVC 2012, Vol. 7432, pp. 166-175, 2012.
  22. R. Ptucha and A. Savakis, “Towards the Usage of Temporal Features for Facial Expression Classification,” Advances in Visual Computing, Lecture Notes in Computer Science, Int. Symp. Visual Comp. ISVC 2012, Vol. 7432, pp. 388-397, 2012.
  23. S. Azary and A. Savakis, “Multiview Action Classification Using Sparse Representations on Motion History Images,” IEEE Western New York Image Processing Workshop, Rochester NY, Nov. 2012.
  24. R. Ptucha, G. Tsagkatakis and A. Savakis, “Manifold Based Sparse Representation for Robust Expression Recognition without Neutral Subtraction”, International Conference on Computer Vision, Barcelona, ICCV’2011 BeFITS Workshop, Barcelona, Spain, 2011.
  25. R. Ptucha, G. Tsagkatakis, A. Savakis, “Manifold Learning for Simultaneous Pose and Facial Expression Recognition,” Int. Conf. Image Proc. ICIP 2011, Brussels, Belgium, Sep. 2011.
  26. T. Keane, E. Saber, H. Rhody, A. Savakis, and J. Raj, “Unsupervised automated panorama creation for realistic surveillance scenes through weighted mutual information registration,” SPIE Electronic Imaging, San Francisco, CA, Jan. 2011.
  27. C. Bellmore, R. Ptucha and A. Savakis, “Interactive Display Using Depth and RGB Sensors for Face and Gesture Control,” IEEE Western NY Image Processing Workshop, Rochester, NY, 2011.
  28. G. Tsagkatakis and A. Savakis, “Face Recognition using Sparse Representations and Manifold Learning,” Int. Symposium Visual Computing, ISVC2010, Las Vegas, NV, Nov. 2010.
  29. S. Azari and A. Savakis, “View Invariant Activity Recognition with Manifold Learning,” Int. Symposium Visual Computing, ISVC2010, Las Vegas, NV, Nov. 2010.
  30. G. Tsagkatakis and A. Savakis, "Sparse Representations and Distance Learning for Attribute based Category Recognition," in European Conference on Computer Vision, ECCV 2010, Int. Workshop on Parts and Attributes, PnA, Heraklion Greece 2010.
  31. G. Tsagkatakis and A. Savakis, “Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition,” Int. Conf. Pattern Rec., ICPR 2010, Istanbul, Turkey, Aug. 2010.
  32. G. Tsagkatakis and A. Savakis, “A Framework for Object Class Recognition with No Visual Examples,” IEEE Western NY Image Processing Workshop, Rochester, NY, Nov. 2010. (Best Paper Award)
  33. R. Ptucha and A. Savakis, “Pose Estimation using Facial Feature Points and Manifold Learning,” Int. Conf. on Image Proc., ICIP 2010, Hong Kong, Sep. 2010.
  34. R. Ptucha and A. Savakis, “Facial Expression Recognition Using Facial Features and Manifold Learning,” International Symposium on Visual Computing, ISVC 2010, Las Vegas, NV, 2010
  35. N. Kholgade and A. Savakis, “Human Activity Recognition using the 4D Spatiotemporal Shape Context Descriptor,” Int. Symposium Visual Computing, ISVC 2009, Las Vegas, NV, Nov. 2009.
  36. G. Tsagkatakis and A. Savakis, “Random Projections for Face Detection under Resource Constraints,” Int. Conf. on Image Proc., ICIP 2009, Cairo, Egypt, Nov. 2009.
  37. G. Tsagkatakis and A. Savakis, “A Random Projections Model for Object Tracking under Variable Pose and Multi-Camera Views,” Int. Conf. Distributed Smart Cameras ICDSC 2009, Como, Italy, Aug. 2009.
  38. R. Ptucha and A. Savakis, “Facial Pose Tracking for Interactive Display,” IEEE Western NY Image Processing Workshop, Rochester, NY, 2009.
  39. R. Ptucha and A. Savakis, “Facial Pose Estimation Using a Symmetrical Feature Model”, ICME Workshop on Media Information Analysis for Personal and Social Applications, New York, NY, 2009.
  40. B. Tillapaugh and A. Savakis, “Indirect Camera Calibration for Surgery Tracking,” IEEE Int. Symposium Biomedical Imaging ISBI 2009, Boston, MA, 2009.
  41. V. Hannak, A. Savakis, S. J. Yang and P. Anderson, “Concurrent Evolution of Feature Extractors and Modular Artificial Neural Networks,” SPIE Defense and Security Symposium, Orlando, FL, April 2009.
  42. G. Tsagkatakis and A. Savakis, “Face Detection in Power Constrained Distributed Environments,” ICPR’08 Int. Workshop on Mobile Multimedia Processing, Tampa FL, Dec. 2008.
  43. G. Tsagkatakis, M. Zervakis, A. Savakis, “Multiple Description Wireless Image Transmission with Low Parity Check Codes,” ICIP’08 Int. Conf. Image Proc., San Diego CA, Oct. 2008.
  44. G. Tsagkatakis and A. Savakis, “The Effects of Image Compression on Classification using Support Vector Machines,” IEEE Western New York Image Processing Workshop, Rochester NY, Sep. 2008.
  45. N. Kholgade and A. Savakis, “Human Activity Recognition in Video using Two Methods for Matching Shape Contexts of Silhouettes,” SPIE Defense and Security Symposium, Intelligent Computing: Theory and Applications VI, Orlando, FL, March 2008.
  46. A. Savakis, M. Lukowiak and J. Pyle, “FPGA Implementation of a Lossless to Lossy Bitonal Image Compression System,” Int. Conf. Mixed Design Integrated Circuits and Systems, MIXDES 2008, Poznan, Poland, June 2008.
  47. N. Kholgade and A. Savakis, “Recognizing Human Activities using Boundary Points of Silhouettes,” IEEE Western New York Image Processing Workshop, Rochester NY, Sep. 2007.
  48. J. Boeheim and A. Savakis, “Activity Recognition Using Limb Component Extraction,” IEEE Western New York Image Processing Workshop, Rochester NY, Sep. 2007.
  49. A. Savakis and J. Pyle, “Near Lossless Bitonal Image Compression with ROI Processing,” IEEE Western New York Image Processing Workshop, Rochester NY, Sep. 2007.
  50. A. Savakis and A. Mullen, “Real-time Face Identification in a Multi-Camera Environment,” IBPRIA Spanish Workshop in Biometrics, Girona, Spain, June 2007.
  51. J. Hnatow and A. Savakis, “An Eye Model for Uncalibrated Eye Gaze Estimation Under Variable Head Pose,” Proc. SPIE Defense and Security Symposium, Biometric Technology for Human Identification IV, Orlando, FL, April 2007.
  52. A. Savakis, M. Erhard, J. Schimmel, and J. Hnatow “A Multi-Camera System for Real-Time Pose Estimation,” Proc. SPIE Defense and Security Symposium, Intelligent Computing: Theory and Applications V, Orlando, FL, April 2007.
  53. A. Savakis and D. Higgs, “Parts-based Face Detection at Multiple Views,” VISAPP 2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007.
  54. A. Savakis and J. Schimmel, “Facial Pose Estimation for Image Retrieval,” VISAPP 2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007.
  55. J. Hnatow and A. Savakis, “An Efficient Eye Model for Uncalibrated Eye Gaze Estimation,” IEEE Western New York Image Processing Workshop, Rochester, NY, September 2006.
  56. S. Gupta, E. Hensel, A. Savakis, P. Tymann and D. Narayan, “Retaining STEM students with the EMC^2 Scholars' Program at RIT,” Proc. 9th International Conference on Engineering Education, July 23-28, 2006, San Juan, PR, July 2006.
  57. S. Lyshevski, J. Andersen, S. Boedo, L. Fuller, R. Raffaelle, A. Savakis and G Skuse, “Multidisciplinary Undergraduate Nano-Science, Engineering and Technology Course.” IEEE Nano 2006 Conf., Cincinnati, OH, July 2006.
  58. A. Savakis and S. Jackson, “Adaptive Multilevel Median Filtering of Image Sequences,” Int. Conf. Image Proc. ICIP’2005, Genoa, Italy, Sep. 2005.
  59. D. Higgs and A. Savakis, “Object Detection Framework Based on Parts Identification at Multiple Views,” IEEE Western New York Image Processing Workshop, Rochester, NY, Sep. 2005.
  60. S. Gupta, E. C. Hensel, A. Savakis, P. Tymann, D. Narayan, “Retaining Female and Minority Students with EMC2 Scholars,” ASEE 2005 Annual Conference and Exposition, Portland, Oregon June 2005.
  61. S. Lyshevski, J. Andersen, S. Boedo, L. Fuller, R. Raffaelle, A. Savakis, G. Skuse, “New Nano-Science, Engineering and Technology Course at Rochester Institute of Technology,” 2005 ASEE St. Lawrence Section Conference, Binghamton, New York, April 2005.
  62. R. Carbone and A. Savakis, “Discrete Wavelet Transform Core for Image Processing Applications,” Real time Image Proc., SPIE Electronic Imaging, San Jose, CA, Jan. 2005.
  63. M. Kane and A. Savakis, “Bayesian Network Structure Learning and Inference in Indoor vs. Outdoor Image Classification,” Int. Conf. Pat. Rec. ICPR’2004, Cambridge, UK, Aug. 2004.
  64. P. Sniatala, R. Rudnicki, A. Savakis: “Hardware Implementation of MPEG-7 Color Descriptors,” Proc. 11th Mixed Design of Integrated Circuits and Systems, MIXDES’2004, Szczecin, Poland, June 2004.
  65. P. Sniatala, R. Rudnicki, and A. Savakis, “FPGA based System for MPEG-7 Descriptor Extraction,” IWSSIP’04 11th Int. Workshop on Systems Signals and Image Processing, Poznan, Poland, Sep. 2004.
  66. J. Shimmel, A. Savakis, and L. Ray, “Geometric Head Model Approach to Facial Pose Estimation,” 2004 Western New York Image Proc. Workshop, Rochester, NY, Oct. 2004.
  67. P. Sherry and A. Savakis, “Improved Methods for Watermarking Halftone Images,” ICASSP’04, Int. Conf. Acoustics, Speech and Signal Proc., Montreal, Canada, May 2004.
  68. R. Narasimha, A. Savakis, R. Rao and R. deQueiroz, “A Neural Network Approach to Key Frame Extraction,” SPIE Electronic Imaging, Jan. 2004.
  69. J. Sweet, S. Harrington, R. Price Jones, A. Savakis, F. Naveda, P. Roetling, “A System for the Identification of Multi-Page Web Documents,” Canadian Conf. Electrical and Computer Engineering, Niagara Falls, Canada, May 2004.
  70. M. Kane, F. Sahin, and A. Savakis, “A Two Phase Approach to Bayesian Network Model Selection and Comparison between the MDL and DGM Scoring Heuristics,” IEEE Int. Conf. on Systems, Man & Cybernetics, Washington D.C., Oct. 2003.
  71. R. Narasimha, A. Savakis, R. Rao and R. deQueiroz, “Key Frame Extraction using MPEG-7 Motion Descriptors,” Asilomar Conf. on Signals, Systems and Computers, Nov. 2003.
  72. C. Brown and A. Savakis, “High Performance Architecture for Color Error Diffusion,” Real Time Image Pro. VII, SPIE Electronic Imaging, Santa Clara, CA, Jan. 2003.
  73. A. Savakis, P. Sniatala, and R. Rudnicki, “Real-time Video Annotation using MPEG-7 Motion Activity Descriptors,” MIXDES 2003, Lodz, Poland, June 2003.
  74. J. Luo, A. Singhal, and A. Savakis, “Efficient Mobile Imaging using Emphasis Image Selection,” The PICS Conf. Rochester, NY., May 2003.
  75. N. Serrano, A. Savakis, and J. Luo, “A Computationally Efficient Approach to Indoor/Outdoor Scene Classification,” ICPR'02 Int. Conf. Pattern Rec, Québec City, Canada, Aug. 2002.
  76. A. Savakis and M. Pioriun, “Benchmarking and Hardware Implementation of a JPEG-LS codec,” ICIP'02, Rochester, NY, Sept. 2002.
  77. J. Luo and A. Savakis, “Indoor vs. Outdoor Classification of Consumer Photographs,” ICIP’01 Int. Conf. Image Proc., Thessaloniki, Greece, Oct. 2001.
  78. N. Serrano, J. Luo and A. Savakis, “Evaluation of Texture Features for Image Segmentation,” IEEE Western New York Image Processing Workshop, Sep. 2001.
  79. A. Savakis and C. Brown, “Document processing for automatic color dropout,” SPIE Applications of Digital Image Processing, San Diego CA, July 2001.
  80. A. Loui and A. Savakis, “Automatic Image Event Segmentation and Quality Screening for Albuming Applications,” ICME’2000 Int. Conference on Multimedia and Expo, New York, New York, July 2000.
  81. J. Luo, A. Savakis, S. Etz, and A. Singhal, “On the Application of Bayes Networks to Semantic Understanding of Consumer Photographs,” ICIP Int. Conf. Image Proc., Vancouver, Canada, Sep. 2000.
  82. A. Savakis, S. Etz, and A. Loui, “Evaluation of Image Appeal in Photographic Images,” Human Vision and Electronic Imaging V, SPIE Electronic Imaging, January 2000.
  83. J. Luo and A. Savakis, “Two-Stage Texture Segmentation using Complementary Features,” Int. Conf. Image Proc. ICIP'00, Vancouver, Canada, Sep. 2000.
  84. A. Savakis, “Evaluation of Lossless Compression Methods for Gray Scale Document Images,”   Int. Conf. Image Proc. ICIP'00, Vancouver, Canada, September 2000.
  85. A. Savakis, “Adaptive Document Image Thresholding using Foreground and Background Clustering,” Int. Conf. Image Proc. ICIP'98, Chicago, Illinois, October 1998.

 


Patents (issued)

 

1. U.S. Patent 8,873,798, “Methods for Tracking Objects Using Random Projections, Distance Learning and a Hybrid Template Library and Apparatuses Thereof,” inventors: G. Tsagkatakis and A. Savakis, Rochester Institute of Technology, October 2014.

2. U.S. Patent 6,847,733, “Retrieval and browsing of database images based on image emphasis and appeal,” with R. Mehrotra,  Eastman Kodak Co., issued January 2005.

3.  U.S. Patent 6,832,006, “System and method for controlling image compression based on image emphasis,” with M. Rabbani, Eastman Kodak Co., issued December 2004.

4.      U.S. Patent Number 6738494, “Method for varying an image processing path based on image emphasis and appeal,” with E. Gindele and S. Etz, Eastman Kodak Co., issued May 2004.

5.      U.S. Patent Number 6748097, “Method for varying the number, size, and magnification of photographic prints based on image emphasis and appeal,” with E. Gindele and S. Etz, Eastman Kodak Co., issued June 2002.

6.      U.S. Patent 6671405, “Method for Automatic Assessment of Emphasis and Appeal in Consumer Images,” with S. Etz, Eastman Kodak Co., issued December 2003.

7.      U.S. Patent 6631212, “Two stage scheme for texture segmentation based on clustering using a first set of features and refinement using a second set of features,” with J. Luo, Eastman Kodak Company, issued November 2003.

8.      U.S. Patent 6535636, “Method for automatically detecting digital images that are undesirable for placing in albums,” with A. Loui, Eastman Kodak Company, issued March 2003.

9.      U.S. Patent Number 6323956, "Adaptive quantization of grayscale images," Eastman Kodak Company, issued November 2001.

10.      U.S. Patent Number 6044179, "Document Image Thresholding using Foreground and Background Clustering," Eastman Kodak Company, Issued March 2000.

11.  U.S. Patent Number 6035058, "Automatic Color Form Dropout using Luminance / Chrominance Space Processing," with J. Madigan, Eastman Kodak Company, Issued March 2000.

12.  U.S. Patent Number 4786168, "Frequency Domain Laser Velocimeter Signal Processor," with J. Meyers et al., NASA, Issued November 1988.


US Patent Database

 
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Last updated Feb 2015