Monday January 29, 2018
Surveillance in Robotics, Vision, and Inspection
Session Chair:
Sreenath Vantaram, Apple Inc. (United States)
10:40 AM – 12:20 PM
Sandpebble C
This session is jointly sponsored by: Intelligent Robotics and Industrial Applications using Computer Vision 2018, and Surveillance Session: Applications and Algorithms.
10:40IRIACV-125
Pose perceptual characteristics using HMD-based visual instruction; effect of front/rear view and viewpoint change methods, Shin Kinoshita, Yoshihiko Nomura, Ryota Sakamoto, and Tokuhiro Sugiura, Mie University (Japan)
11:00IRIACV-126
Robust pose estimation with the stereoscopic camera in harsh environment, Longchuan Niu, Sergey Smirnov, Jouni Mattila, and Atanas Gotchev, Tampere University of Technology (Finland)
11:20SRV-127
Predicting rapid fire growth (flashover) using a hybrid convolutional neural network for object recognition and segmentation, Kyongsik Yun, Jessi Bustos, and Thomas Lu, NASA Jet Propulsion Laboratory (United States)
11:40SRV-128
Using shape descriptors for UAV detection, Eren Unlu1, Emmanuel Zenou1, and Nicolas Riviere2; 1ISAE-SUPAERO and 2ONERA (France)
12:00SRV-129
About pixel densities in surveillance, Vlado Damjanovski, ViDi Labs Pty Ltd. (Australia)
12:20 – 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
Machine Vision and Deep Learning
Session Chair:
Juha Röning, University of Oulu (Finland)
9:10 – 9:50 AM
Sandpebble C
9:10IRIACV-202
No-reference utility estimation with a convolutional neural network, Edward Scott and Sheila Hemami, Northeastern University (United States)
9:30IRIACV-204
A 3D guitar fingering assessing system based on CNN-hand pose estimation and SVR-assessment, Zhao Wang and Jun Ohya, Waseda University (Japan)
10:00 AM – 7:30 PM Industry Exhibition
9:50 – 10:50 AM Coffee Break
Machine Vision and Imaging
Session Chair:
Kurt Niel, University of Applied Sciences Upper Austria (Austria)
10:50 AM – 12:30 PM
Sandpebble C
10:50IRIACV-236
Machine vision system for rapid online detection of wooden breast syndrome in chicken fillets, Seung-Chul Yoon, Brian Bowker, Kurt Lawrence, and Hong Zhuang, US Department of Agriculture-Agricultural Research Service (United States)
11:10IRIACV-237
An image processing based method for chewing detection using variable-intensity template, Atsuto Fujimoto1, Takaaki Ohkawauchi2, Junji Yamato3, and Jun Ohya1; 1Waseda University, 2Teikyo University, and 3Kogakuin University (Japan)
11:30IRIACV-238
Discriminating the presence of the cerebral aneurysm using shape features obtained from medical images of the cerebral vessel, Kosei Kikuchi, Takanobu Yagi, Rong Xu, and Jun Ohya, Waseda University (Japan)
11:50IRIACV-239
Accumulate relative density outlier detection for large scale traffic data, Sophia Liu1, Henry Ngan1, Michael K. Ng1, and Steven Simske2; 1Hong Kong Baptist University (Hong Kong) and 2Hewlett-Packard Labs, HP Inc. (United States)
12:10IRIACV-240
Geometric calibration and image rectification of a multi-line scan camera for accurate 3D reconstruction, Bernhard Blaschitz, Svorad Štolc, and Doris Antensteiner, AIT Austrian Institute of Technology GmbH (Austria)
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
Pattern Recognition and Inspection
Session Chair:
Henry Ngan, Hong Kong Baptist University (Hong Kong)
3:30 – 5:30 PM
Sandpebble C
3:30IRIACV-343
Computational ultrafast optical imaging for single-cell inspection and analysis (Invited), Edmund Lam, The University of Hong Kong (Hong Kong)
3:50IRIACV-275
Featureless-region-based top window recognition for automatic industrial monitoring systems, Mei-Hsuan Ho1, Yu-Hsuan Tsai2, Chang-Tao Hsu2, and Jen-Hui Chuang1; 1NCTU Computer Science and Information Engineering and 2NCTU Computer Vision and Research Center (Taiwan)
4:10IRIACV-276
Outlier detection in large-scale traffic data by regression analysis, Philip Lam1, Lili Wang1, Henry Ngan1, Nelson H.C. Yung2, and Michael K. Ng1; 1Hong Kong Baptist University and 2The University of Hong Kong (Hong Kong)
4:30IRIACV-277
Part quality assessment using convolution neural networks in high pressure die casting, Kelly Cashion1, Nilesh Powar1, Robert De Neff2, and Robert Kress3; 1University of Dayton Research Institute, 2Honda North America, and 3Honda Transmission Manufacturing (United States)
4:50IRIACV-278
Multi-view surface inspection using a rotating table, Tomoya Kaichi1, Shohei Mori1, Hideo Saito1, Junichi Sugano2, and Hideyuki Adachi2; 1Keio University and 2ViSCO Technologies, Ltd. (Japan)
5:10IRIACV-279
Bringing machine intelligence to welding visual inspection: Development of low-cost portable embedded device for welding quality control, Yifu Gong, Zhibin Lin, Jinhui Wang, and Na Gong, North Dakota State University (United States)
5:30 – 7:30 PM EI 2018 Symposium Demonstration Session
Wednesday January 31, 2018
Robotic Vision Techniques for Navigation and Vision I
Session Chairs:
Patrick Denny, Valeo (Ireland) and Darnell Moore, Texas Instruments (United States)
8:50 – 9:50 AM
Grand Peninsula Ballroom B-C
This session is jointly sponsored by: Autonomous Vehicles and Machines 2018, and Intelligent Robotics and Industrial Applications using Computer Vision 2018.
8:50IRIACV-301
Reliable primitive approximation for estimation of robot grasping parameters using 3D-deep neural network, Takuya Torii and Manabu Hashimoto, Chukyo University (Japan)
9:10IRIACV-302
Real-time visual loop closure detection for unmanned aerial vehicles, Semih Karakaya1, Can Erhan1, Evangelos Sariyanidi2, and Hakan Temeltas1; 1Istanbul Teknik Üniversity (Turkey) and 2Queen Mary University of London (United Kingdom)
9:30AVM-303
Semantic image segmentation using Encoder-Decoder Architecture Assisted by Global and Local Attention Models (EDA-GLAM), Hao Xu, Siyang Li, and Chun-Chieh Kuo, Univeristy of Southern California (United States)
10:00 AM – 4:00 PM Industry Exhibit
9:50 – 10:50 AM Coffee Break
Robotic Vision Techniques for Navigation and Vision II
Session Chairs:
Patrick Denny, Valeo (Ireland) and Darnell Moore, Texas Instruments (United States)
10:50 AM – 12:40 PM
Grand Peninsula Ballroom B-C
This session is jointly sponsored by: Autonomous Vehicles and Machines 2018, and Intelligent Robotics and Industrial Applications using Computer Vision 2018.
10:50AVM-345
Pedestrian detection at night using deep neural networks and saliency maps (JIST-first), Duyoung Heo, EunJu Lee, and ByoungChul Ko, Keimyung University (Republic of Korea)
11:10AVM-346
Context aware hyperspectral scene analysis, Christian Winkens and Dietrich Paulus, University of Koblenz-Landau (Germany)
11:30AVM-347
Multiple pedestrian tracking in moving vehicle using online learning of random ferns and feature descriptor of pre-trained shallow convolutional neural networks, SangJun Kim, Jaeyeal Nam, and ByoungChul Ko, Keimyung University (Republic of Korea)
11:50AVM-348
Raindrop detection considering extremal regions and salient features, Vijay C S, Radhesh Bhat, and Vijaya Ragavan, PathPartner Technology Pvt Ltd. (India)
12:10AVM-349
Removing shadows and shading from road surfaces in real time, Bruce Maxwell and Casey Smith, Tandent Vision Science, Inc. (United States)
12:40 – 2:00 PM Lunch
2:00 – 3:00 PM PLENARY: Ubiquitous, Consumer AR Systems to Supplant Smartphones
5:30 – 7:00 PM EI 2018 Symposium Interactive Papers (Poster) Session
5:30 – 7:00 PM Meet the Future: A Showcase of Student and Young Professionals Research