Eli Saber Headshot

Eli Saber

Professor

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

585-475-6927
Office Location

Eli Saber

Professor

Department of Electrical and Microelectronic Engineering
Kate Gleason College of Engineering

Education

BS, State University of New York at Buffalo; MS, Ph.D., University of Rochester

Bio

Dr. Eli Saber is a Professor in the Electrical and Microelectronic Engineering Department at the Rochester Institute of Technology. Prior to that, he worked for Xerox Corporation from 1988 until 2004 in a variety of positions ending as Product Development Scientist and Manager at the Business Group Operations Unit. He received the BS degree in Electrical and Computer Engineering from the University of Buffalo in 1988, and the MS and Ph.D. degrees in the same discipline from the University of Rochester in 1992 and 1996 respectively. From 1997 until 2004, he was an adjunct faculty member at the Electrical Engineering Department of the Rochester Institute of Technology and at the Electrical & Computer Engineering Department of the University of Rochester.

Dr. Saber’s research interests are in the areas of digital image and video processing including: Image/video segmentation, object tracking, content-based Image/video analysis and summarization, multi-camera surveillance processing, three dimensional scene reconstruction and image/video understanding. He is a senior member of the Institute for Electrical and Electronic Engineers (IEEE) and the Imaging Science and Technology (IS&T) society, a former member of Image and Multi-dimensional Digital Signal Processing (IMDSP) Technical Committee and member and former chair of IEEE Industry Technology Committee (ITT). He served as an Associate Editor for the IEEE Transaction on Image Processing and is currently serving as an Area Editor for the Journal of Electronic Imaging. He has served on several conference committees including Finance chair for ICIP 2002 and ESPA 2012, Tutorial Chair for ICIP 2007 and ICIP 2009, General Chair for ICIP 2012, international Liaison for ICIP 2013 and Technical Program Chair for ICASSP 2017. He has received the Trustees Scholarship and the PI Millionaire awards from the Rochester Institute of Technology and has been elected as the Gleason Professor by the Electrical and Microelectronic Engineering Department. Dr Saber has co-authored a book on “Advanced Linear Algebra for Engineers with MATLAB” and holds many conference and journal publications. For more about Dr. Saber, see his website.

Recent Publications:

  1. S. R. Vantaram and E. Saber, “A Survey of Contemporary Trends in Color Image Segmentation”, Journal of Electronic Imaging, 21(4), 040901, Oct-Dec 2012.
  2. M. S. Erkilinc, M. Jaber, E. Saber, “Text, Photo and Line Extraction in Scanned Documents”, Journal of Electronic Imaging, Vol. 21, 033006, July 2012.
  3. T. Keane, E. Saber, H. Rhody, A. Savakis and J. Raj, “Practical Image Registration Concerns Overcome by the Weighted and Filtered Mutual Information Metric”, Journal of Electronic Imaging, Vol. 21(2), 023029, June 2012.
  4. P. Gurram, E. Saber and H. Rhody, “Semi-automated System for three-dimensional Modeling of Buildings from Aerial Video”, Journal of Electronic Imaging, Vol. 21(1), 013007, Jan-Mar 2012. 
585-475-6927

Areas of Expertise

Select Scholarship

Published Conference Proceedings
Liu, Yansong, et al. "Dense Semantic Labeling of Very High Resolution Aerial Imagery and LIDAR with Fully Convolutional Neural Networks and Higher Order CRFs." Proceedings of the CVPR Workshops 2017. Ed. CVPR. Honolulu, Hawaii: CVPR, 2017. Web.
Liu, Yansong, et al. "Semantic Segmentation of Remote Sensing Data Using Gaussian Processes and Higher Order CFRs." Proceedings of the IGARSS 2017. Ed. IEEE. Fort Worth, TX: IEEE, 2017. Web.
Liang, Yilong, Sildomar Monteiro, and Eli Saber. "Transfer Learning for High Resolution Aerial Image Classification." Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop. Washington DC, Washington DC: n.p., 2016. Web.
Liang, Yilong, Panos Markopoulos, and Eli Saber. "Subpixel Target Detection in hyperspectral images with Local Matched Filtering in SLIC Superpixels." Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (WHISPERS 2016). Los Angeles, CA: n.p., 2016. Web.
HU, Yang, Sildomar Monteiro, and Eli Saber. "Super Pixel Based Classification using Conditional Random Fields for Hyperspectral Images." Proceedings of the International Conference on Image Processing (ICIP) 2016. Ed. IEEE SP Society. Phoenix, AZ: n.p., 2016. Web.
Lima, Osborn De, et al. "Signature Line Detection in Scanned Documents." Proceedings of the International Conference on Image Processing (ICIP) 2016. Ed. IEEE SP Society. Phoenix, AZ: n.p., 2016. Web.
Liang, Yilong, Panos Markopoulos, and Eli Saber. "Subpixel Target Detection in Hyperspectral Images from Superpixel Background Statistics." Proceedings of the IGARRS 2016. Ed. IEEE. Beijing, China: n.p., 2016. Web.
Liu, Yansong, Sildomar Monteiro, and Eli Saber. "Vehicle Detection from Aerial Color Imagery and Airborne LiDAR Data." Proceedings of the IGARRS 2016. Beijing, China: n.p., 2016. Web.
Wang, Yue, et al. "Scanned Document Enhancement Based on Fast Text Detection." Proceedings of the ICASSP 2016. Ed. IEEE. Shanghai, China: n.p., 2016. Web.
Liang, Yilong, Sildomar Monteiro, and Eli Saber. "Gaussian Processes for Object Detection in High Resolution Remote Sensing Images." Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA 2016). Anaheim, CA: n.p., 2016. Web.
Liu, Y., S. Monteiro, and E. Saber. "An Approach for Combining Airborne LiDAR and High Resolution Aerial Color Imagery using Gaussian Processes." Proceedings of the Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI. Ed. Lorenzo Bruzzone. Toulouse, France: SPIE, 2015. Print.
Liang, Y., et al. "A Game-Theoretic Tree Matching Approach for Object Detection in High Resolution Remotely Sensed Images." Proceedings of the Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI. Ed. Lorenzo Bruzzone. Toulouse, France: SPIE, 2015. Print.
Hu, Y., et al. "Low-dimensional Representations of Hyperspectral Data for use in CRF-based Classification." Proceedings of the Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI. Ed. Lorenzo Bruzzone. Toulouse, France: SPIE, 2015. Print.
Liu, Y., S. Monteiro, and E. Saber. "Towards 3D Classification of Urban Areas by Fusing Airborne LIDAR Data with High Resolution Aerial Optical Imagery." Proceedings of the IGARSS. Ed. IEEE. Milan, Italy: IEEE, 2015. Print.
Piramanayagam, S., et al. "Shot Boundary Detection and Label Propagation for Spatio-Temporal Video Segmentation." Proceedings of the SPIE/IS&T: Electronic Imaging Symposium. Ed. SPIE/IS&T. San Fransisco, CA: SPIE, 2015. Print.
Yousefhussien, M., et al. "Flatbed Scanner Simulation to Analyze the Effect of Detector's Size on Color Artifacts." Proceedings of the SPIE/IS&T: Electronic Imaging Symposium. Ed. SPIE/IS&T. San Fransisco, CA: SPIE, 2015. Print.
Shah, K., E. Saber, and K. Verrier. "Improved Metrology of Implant Lines on Static Images of Textured Silicon Wafers using Line Integral Method." Proceedings of the SPIE/IS&T: Electronic Imaging Symposium. Ed. SPIE/IS&T. San Fransisco, CA: SPIE, 2015. Print.
Hu, Y., et al. "Classification of Hyperspectral Images Based on Conditional Random Fields." Proceedings of the SPIE/IS&T: Electronic Imaging Symposium. Ed. SPIE/IS&T. San Fransisco, CA: SPIE, 2015. Print.
Kothari, R., et al. "Image Enhancement for Low Resolution Display Panels." Proceedings of the SPIE/IS&T: Electronic Imaging Symposium. Ed. SPIE/IS&T. San Fransisco, CA: SPIE, 2015. Print.
Saber, Eli. "Flatbed Scanner Simulation to Analyze the Effect of Detector's Size on Color Artifacts." Proceedings of the Electronic Imaging 2015. San Francisco, California: SPIE / IS&T, 2015. Print.
Saber, Eli. "Measurements of Blood Flow Velocity in Vivo Video Sequences with Motion Estimation Methods." Proceedings of the Image Processing. San Diego, California: SPIE, 2014. Print.
YousefHussien, M., et al. "Three-Dimensional Volume Analysis of Vasculature in Engineered Tissues." Proceedings of the SPIE/IS&T: Electronic Imaging. Ed. SPIE/IS&T. San Francisco, CA: n.p., 2013. Print.
DeLima, O., et al. "An Edge Directed Super Resolution Technique for Surveillance and Printing Applications." Proceedings of the SPIE/IS&T: Electronic Imaging Symposium. Ed. SPIE/IS&T. San Francisco, CA: n.p., 2013. Print.
Toukatly, R., et al. "Performance Analysis of a Color Space Conversion Engine Implemented using Dynamic Partial Reconfiguration." Proceedings of the SPIE/IS&T: Electronic Imaging Symposium. Ed. SPIE/IS&T. San Francisco, CA: n.p., 2013. Print.
Hu, Yang, et al. "An Automatic Approach for 3D Registration of CT Scans." Proceedings of the Electronic Imaging Symposium. Ed. SPIE. San Francisco, CA: SPIE, 2012. Print.
Pira, Sankar, Eli Saber, and David Heavner. "Measurement of Glucose by Image Processing of Thin Film Slides." Proceedings of the Electronic Imaging Symposium. Ed. SPIE. San Diego, CA: SPIE, 2012. Print.
Syed, Abdul Haleem, Eli Saber, and David Messinger. "Encoding of Topological Information in Multi-Scale Remotely Sensed Data: Applications to Segmentation and Object-Based Image Analysis." Proceedings of the International Conference on Geographic Object-Based Image Analysis (GEOBIA). Ed. GEOBIA. Rio De Janeiro, Brazil: GEOBIA, 2012. Print.
Vantaram, Sreenath Rao and Eli Saber. "Unsupervised Video Segmentation by Dynamic Volume Growing and Multivariate Volume Merging using Color-Texture-Gradient Features." Proceedings of the IEEE International Conference on Image Processing. Ed. IEEE. Orlando, FL: IEEE, 2012. Print.
Mykyta, Alex, et al. "Reconfigurable Framework for High-Bandwidth Stream-Oriented Data Processing." Proceedings of the IEEE International SoC Conference (SOCC). Ed. IEEE. Buffalo, NY: IEEE, 2012. Print.
Syed, Abdul H., Eli Saber, and David W. Messinger. "Encoding of Topological Information in Multi-Scale Remotely Sensed Data: Applications to Segmentation and Object-Based Image Analysis." Proceedings of the IEEE Conference on Geographic Object Based Image Analysis (GEOBIA). Rio de Janeiro, Brazil: n.p., 2012. Print.
Erkilinc, M. S., et al. "Line and Streak Detection on Polished and Textured Surfaces Using Line Integrals." Proceedings of the Electronic Imaging. Ed. SPIE/IS&T. San Fransisco, CA: n.p., 2011. Print.
Keane, T., et al. "Unsupervised Automated Panorama Creation for Realistic Surveillance Scenes Through Weighted Mutual Information Registration." Proceedings of the Electronic Imaging. Ed. SPIE/IS&T. San Fransisco, CA: n.p., 2011. Print.
Jaber, M. and E. Saber. "Image Understanding Algorithm for Segmentation Evaluation and Region-of-Interest Identification using Bayesian Networks." Proceedings of the SPIE Defense, Security and Sensing. Ed. SPIE. Orlando, FL: n.p., 2011. Print.
Syed, A. H., E. Saber, and D. Messinger. "Scale-space Representation of Remote Sensing Images using an Object-Oriented Approach." Proceedings of the SPIE Defense, Security, and Sensing. Ed. SPIE. Orlando, FL: n.p., 2011. Print.
Vantaram, S. R. and E. Saber. "An Adaptive Bayesian Clustering and Multivariate Region Merging-based Technique for Efficient Segmentation of Color Images." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. Ed. IEEE. Prague, Czech Republic: n.p., 2011. Print.
Erkilinc, M. S., et al. "Page Layout Analysis and Classification in Complex Scanned Documents." Proceedings of the SPIE Optical Engineering + Applications Conference. Ed. SPIE. San Diego, CA: n.p., 2011. Print.
Jaber, M., et al. "An Image-set for Identifying Multiple Regions/levels of Interest in Digital Images." Proceedings of the SPIE Optical Engineering + Applications Conference. Ed. SPIE. San Diego, CA: n.p., 2011. Print.
Vantaram, S. R., E. Saber, and D. Messinger. "An Intensity-Gradient-Texture Guided Methodology for Automatic Spatial Segmentation of Remotely Sensed Multi/Hyperspectral imagery." Proceedings of the IEEE International Conference on Image Processing. Ed. IEEE. Brussels, Belgium: n.p., 2011. Print.
Vantaram, S. R., et al. "Semi-Automatic 3-D Segmentation of Computed Tomographic Imagery by Iterative Gradient-Driven Volume Growing." Proceedings of the IEEE International Conference on Image Processing. Ed. IEEE. Brussels, Belgium: n.p., 2011. Print.
Journal Paper
Vantaram, S. R., et al. "Synthesis of Intensity Gradient and Texture Information for Efficient Three-Dimensional Segmentation of Medical Volumes." Journal of Medical Imaging 2. 2 (2015) Print.
Vantaram, S. R., et al. "Automatic Spatial Segmentation of Multi/Hyperspectral Imagery by Fusion of Spectral-Gradient-Textural Attributes." Journal of Applied and Remote Sensing 9. 1 (2015): 1-37. Print.
Saber, Eli, et al. "Spatial segmentation of multi/hyperspectral imagery by fusion of spectral-gradient-textural attributes." SPIE Journal of Applied Remote Sensing 9. 1 (2015): 1--37. Print.
Vantaram, Sreenath Rao and Eli Saber. "A Survey of Contemporarry Trends in Color Image Segmentation." Journal of Electronic Imaging 21. 4 (2012): 1-28. Print.
Erkilinc, M. Sezer, et al. "Text, Photo and Line Extraction in Scanned Documents." Journal of Electronic Imaging 21. 3 (2012): 1-18. Print.
Keane, Thomas, et al. "Practical Image Registration Concerns Overcome by the Weighted and Filtered Mutual Information Metric." Journal of Electronic Imaging 21. 2 (2012): 1-18. Print.
Gurram, Prudhvi, Eli Saber, and Harvey Rhody. "Semi-Automated System for Three-Dimensional Modeling of Buildings from Aerial Video." Journal of Electronic Imaging 21. 1 (2012): 1-18. Print.
Keane, Tommy P., et al. "Practical Image Registration Concerns Overcome by the Weighted and Filtered Mutual Information Metric." Journal of Electronic Imaging 21. 2 (2012) Print.
Gurram, Prudhvi, Eli Saber, and Harvey Rhody. "Semiautomated System for Three-Dimensional Modeling of Buildings From Aerial Video." Journal of Electronic Imaging 21. 1 (2012) Print.
Invited Keynote/Presentation
Saber, E. "Segmentation of Multimodal Imagery for Remote Sensing, Multimedia and Biomedical Applications." Latin America Remote Sensing Conference. LARS. Santiago, Chile. 15 Oct. 2013. Keynote Speech.
Published Article
Fan, X., H.E. Rhody, E. Saber. “A spatial feature-enhanced MMI algorithm for multimodal airborne image registration.” IEEE Transactions on Geoscience and Remote Sensing, 48.6 (2010): 2580-2589. Print. "  £
Gurram, P., E. Saber, H.E. Rhody. “A Segment-Based Mesh Design for Building Parallel-Perspective Stereo Mosaics.” IEEE Transactions on Geoscience and Remote Sensing, 48.3 (2010): 1256-1269. Print."  £
Jaber, Mustafa and EliSaber. “Probabilistic Approach for ExtractingRegions of Interest in Digital Images.” Journal of Electronic Imaging, 19.2, (2010): 023019-1-13. Print. " É  *
Fan, Xiaofeng;Harvey Rhody, and Eli Saber. “A Spatial Feature Enhanced MMI Algorithm for Multimodal Airborne Image Registration.” IEEE Transactions on Geoscience and Remote Sensing, 48.6, (2010):2580—2589. Print. "  É  *
Gurram, Prudhvi, EliSaber, and Harvey Rhody. “A Segment-Based Mesh design for BuildingParallel-Perspective Stereo Mosaic.” IEEE Transactions on Geoscience and Remote Sensing, 48.3 (2010): 1256-1269. Print. "  É  *
Vantaram, SreenathRao, Eli Saber, Sohail Dianat, Mark Shaw,and Ranji Bashkar. “Multiresolution Adaptiveand Progressive Gradient-based color imageSegmentation.” Journal of Electronic Imaging, 19.1 (2010): 013001-1-21. Print. "  É  *

Currently Teaching

EEEE-499
0 Credits
One semester of paid work experience in electrical engineering.
EEEE-707
3 Credits
The course trains students to utilize mathematical techniques from an engineering perspective, and provides essential background for success in graduate level studies. The course begins with a pertinent review of matrices, transformations, partitions, determinants and various techniques to solve linear equations. It then transitions to linear vector spaces, basis definitions, normed and inner vector spaces, orthogonality, eigenvalues/eigenvectors, diagonalization, state space solutions and optimization. Applications of linear algebra to engineering problems are examined throughout the course. Topics include: Matrix algebra and elementary matrix operations, special matrices, determinants, matrix inversion, null and column spaces, linear vector spaces and subspaces, span, basis/change of basis, normed and inner vector spaces, projections, Gram-Schmidt/QR factorizations, eigenvalues and eigenvectors, matrix diagonalization, Jordan canonical forms, singular value decomposition, functions of matrices, matrix polynomials and Cayley-Hamilton theorem, state-space modeling, optimization techniques, least squares technique, total least squares, and numerical techniques. Electrical engineering applications will be discussed throughout the course.
EEEE-709
3 Credits
The course begins with a pertinent review of linear and nonlinear ordinary differential equations and Laplace transforms and their applications to solving engineering problems. It then continues with an in-depth study of vector calculus, complex analysis/integration, and partial differential equations; and their applications in analyzing and solving a variety of engineering problems especially in the areas of control, circuit analysis, communication, and signal/image processing. Topics include: ordinary and partial differential equations, Laplace transforms, vector calculus, complex functions/analysis, complex integration, and numerical techniques. Electrical engineering applications will be discussed throughout the course.
EEEE-789
3 Credits
Topics and subject areas that are not regularly offered are provided under this course. Such courses are offered in a normal format; that is, regularly scheduled class sessions with an instructor.
ENGR-707
3 Credits
This course trains students to utilize mathematical techniques from an engineering perspective, and provides essential background for success in graduate level studies. An intensive review of linear and nonlinear ordinary differential equations and Laplace transforms is provided. Laplace transform methods are extended to boundary-value problems and applications to control theory are discussed. Problem solving efficiency is stressed, and to this end, the utility of various available techniques are contrasted. The frequency response of ordinary differential equations is discussed extensively. Applications of linear algebra are examined, including the use of eigenvalue analysis in the solution of linear systems and in multivariate optimization. An introduction to Fourier analysis is also provided.
ENGR-709
3 Credits
Advanced Engineering Mathematics provides the foundations for complex functions, vector calculus and advanced linear algebra and its applications in analyzing and solving a variety of electrical engineering problems especially in the areas of control, circuit analysis, communication, and signal/image processing. Topics include: complex functions, complex integration, special matrices, vector spaces and subspaces, the nullspace, projection and subspaces, matrix factorization, eigenvalues and eigenvectors, matrix diagonalization, singular value decomposition (SVD), functions of matrices, matrix polynomials and Cayley-Hamilton theorem, state-space modeling, optimization techniques, least squares technique, total least squares, and numerical techniques. Electrical engineering applications will be discussed throughout the course.
IMGS-699
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-891
0 Credits
Continuation of Thesis