Monday January 29, 2018
Tomography
Session Chair:
Charles Bouman, Purdue University (United States)
8:50 – 10:10 AM
Harbour A-B
8:50COIMG-101
Accelerating iterative image reconstruction via adaptive surrogate functions, Ayan Mitra1, David Politte2, and Joseph O’Sullivan1; 1Washington University in St. Louis and 2Washington University School of Medicine (United States)
9:10COIMG-102
Distributed modular framework for fast iterative CT reconstruction, Venkatesh Sridhar, Gregery Buzzard, and Charles Bouman, Purdue University (United States)
9:30COIMG-103
Ultrasonic model-based iterative reconstruction with spatially variant regularization for one-sided non-destructive evaluation, Hani Almansouri1, Singanallur Venkatakrishnan2, Dwight Clayton2, Yarom Polsky2, Charles Bouman1, and Hector Santos-Villalobos2; 1Purdue University and 2Oak Ridge National Laboratory (United States)
9:50COIMG-472
Deep learning based sinogram correction for metal artifacts reduction, Muhammad Usman Ghani and W. Clem Karl, Boston University (United States)
10:10 – 10:50 AM Coffee Break
Smart Imaging
Session Chair:
Charles Bouman, Purdue University (United States)
10:50 AM – 12:30 PM
Harbour A-B
10:50COIMG-130
Autonomous alpha matting using consensus equilibrium, Stanley Chan1, Xiran Wang1, and Jason Juang2; 1Purdue University and 2HypeVR Inc. (United States)
11:10COIMG-131
SLADS-Net: Supervised learning approach for dynamic sampling using deep neural networks, Yan Zhang1, Dilshan Godaliyadda2, Nicola Ferrier1, Emine Gulsoy3, Charles Bouman2, and Charudatta Phatak1; 1Argonne National Laboratory, 2Purdue University, and 3Northwestern University (United States)
11:30COIMG-132
A supervised learning approach for dynamic sampling in raman hyperspectral imaging, Shijie Zhang1, Zhengtian Song1, Dilshan Godaliyadda1, Dong Hye Ye1, Atanu Sengupta2, Gregery Buzzard1, Charles Bouman1, and Garth Simpson1; 1Purdue University (United States) and 2Dr. Reddy's Laboratory (India)
11:50COIMG-133
Data-driven compressed sensing tomography, Marc Kassubeck1, Stephan Wenger1, Matthew Gomez2, Eric Harding2, Jens Schwarz2, and Marcus Magnor1; 1TU Braunschweig (Germany) and 2Sandia National Laboratories (United States)
12:10COIMG-134
Feature engineering and explosive detection, Parisa Babaheidarian and David Castañón, Boston University (United States)
12:30 – 2:00 PM Lunch
2:00 – 3:00 PM PLENARY: Overview of Modern Machine Learning and Deep Neural Networks - Impact on Imaging and the Field of Computer Vision
3:00 – 3:30 PM Coffee Break
Special Session on: Computational Imaging for Advanced Manufacturing
Session Chairs:
Vincent Paquit, Oak Ridge National Laboratory (United States) and Hector Santos-Villalobos, Oak Ridge National Laboratory (United States)
3:30 – 5:10 PM
Harbour A-B
This session is jointly sponsored by: Computational Imaging XVI and Intelligent Robotics and Industrial Applications using Computer Vision 2018.
3:30COIMG-177
Advanced manufacturing research activities in the scaling of additive, battery, carbon fiber, and composites fabrication, William Peter, Merlin Theodore, Lonnie Love, Ryan Dehoff, Vlastimil Kunc, and Vincent Paquit, Oak Ridge National Laboratory (United States)
3:50COIMG-178
Automated in-situ defects detection in metal additive manufacturing parts, Vincent Paquit, James Ferguson, Sean Yoder, Michael Kirka, and Ryan Dehoff, Oak Ridge National Laboratory (United States)
4:10COIMG-179
Spectral neutron tomography for crystalline materials, Singanallur Venkatakrishnan1, Luc Dessieux2, and Philip Bingham1; 1Oak Ridge National Laboratory and 2University of Tennessee Knoxville (United States)
4:30COIMG-180
Application of characterization, modeling and analytics towards understanding process-structure-property relationships in metallic 3D printing, Michael Groeber, Edwin Schwalbach, Sean Donegan, Kevin Chaput, Todd Butler, and Jonathan Miller, Wright-Patterson AFB (United States)
4:50COIMG-181
Separable models for cone-beam MBIR reconstruction, Thilo Balke1, Michael Groeber2, Gregery Buzzard1, and Charles Bouman1; 1Purdue University and 2Wright-Patterson AFB (United States)
5:00 – 6:00 PM All-Conference Welcome Reception
Tuesday January 30, 2018
7:15 – 8:45 AM Women in Electronic Imaging Breakfast
Image Analysis and Modeling I
Session Chair:
Charles Bouman, Purdue University (United States)
9:10 – 10:10 AM
Harbour A-B
9:10COIMG-199
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction, Soonam Lee1, Chichen Fu1, Paul Salama2, Kenneth Dunn2, and Edward Delp1; 1Purdue University and 2Indiana University (United States)
9:30COIMG-200
Development of screening echocardiogram for detection of asymptomatic left ventricular dysfunction, Irmina Gradus-Pizlo1, Edward Delp2, and Zygmunt Pizlo1; 1University of California Irvine and 2Purdue University (United States)
9:50COIMG-201
Deep gang graffiti component analysis, He Li, Joonsoo Kim, and Edward Delp, Purdue University (United States)
10:00 AM – 7:30 PM Industry Exhibition
10:10 – 10:50 AM Coffee Break
Image Analysis and Modeling II
Session Chair:
Charles Bouman, Purdue University (United States)
10:50 AM – 12:30 PM
Harbour A-B
10:50COIMG-227
Simulation of rare events in images, Shruthi Kubatur and Mary Comer, Purdue University (United States)
11:10COIMG-228
Top down approach to height estimation of sorghum with stereo cameras, Jihui Jin1,2 and Avideh Zakhor1; 1University of California, Berkeley and 2Georgia Institute of Technology (United States)
11:30COIMG-229
Recovery of Soil Moisture Active Passive (SMAP) instrument’s active measurements via coupled dictionary learning, Konstantina Fotiadou1,2, Grigorios Tsagkatakis1, Mahta Moghaddam3, and Panagiotis Tsakalides1,2; 1Foundation for Research and Technology (FORTH) (Greece), 2University of Crete (Greece), and 3University of Southern California (United States)
11:50COIMG-230
Image modeling for fiber-reinforced composite materials, Tianyu Li, Camilo Aguilar Herrera, and Mary Comer, Purdue University (United States)
12:10COIMG-471
Square coded aperture: A large aperture with extended depth of field, Ruojun He1, Yi Zhang2, and Keigo Hirakawa3; 1China University of Political Science and Law School (China), 2Argo AI, LLC, and 3University of Dayton (United States)
12:30 – 2:00 PM Lunch
2:00 – 3:00 PM PLENARY: Fast, Automated 3D Modeling of Buildings and Other GPS Denied Environments
3:00 – 3:30 PM Coffee Break
Computational Imaging
Session Chair:
Charles Bouman, Purdue University (United States)
3:30 – 5:30 PM
Harbour A-B
3:30COIMG-270
A shooting direction control camera based on computational imaging without mechanical motion, Keigo Takahashi and Tomohiro Yendo, Nagaoka University of Technology (Japan)
3:50COIMG-271
Fast, automated indoor light detection, classification, and measurement, Craig Hiller and Avideh Zakhor, University of California, Berkeley (United States)
4:10COIMG-272
Superfast joint demosaicing and super-resolution, Ivan Glazistov1,2 and Xenya Petrova1; 1Samsung R&D Institute Rus and 2Lomonosov Moscow State University (Russian Federation)
4:30COIMG-273
Warping-based motion artifact compensation for multi-line scan light field imaging, Nicole Brosch, Svorad Štolc, and Doris Antensteiner, AIT Austrian Institute of Technology GmbH (Austria)
4:50COIMG-274
Illuminant estimation using ensembles of multivariate regression trees, Peter van Beek and R. Wayne Oldford, University of Waterloo (Canada)
5:10COIMG-473
Depth estimation using a multi-scale matched filter for decoding structured light reflected from a scene, Hasib Siddiqui, Qualcomm Technologies Inc. (United States)
5:30 – 7:30 PM EI 2018 Symposium Demonstration Session
Wednesday January 31, 2018
Computational Imaging XVI Interactive (Poster) Papers Session
5:30 – 7:00 PM
The Grove
The following works will be presented at the EI 2018 Symposium Interactive Papers Session.
COIMG-402
Estimating the UAVs’ crash point based on optical flows’ voting in the image plane, Yusaku Hatano, Chen Yi, and Jun Ohya, Waseda University (Japan)
COIMG-403
Noise analysis and restrain of ghost imaging system, Shaofan Qu, Beihang University (China)