Intelligent Robotics and Industrial Applications using Computer Vision 2017 Conference Program
Wednesday February 1, 2017
Autonomous Robotics
Session Chair:
Juha Röning, University of Oulu (Finland)
8:50 – 10:10 AM
Cypress C
8:50IRIACV-258
Efficient visual loop closure detection in different times of day, Can Erhan1, Evangelos Sariyanidi2, Onur Sencan1, and Hakan Temeltas1; 1Istanbul Teknik Üniv. (Turkey) and 2Queen Mary, University of London (United Kingdom)
9:10IRIACV-259
Real-time mobile robot navigation based on stereo vision and low-cost GPS, Soonhac Hong, Ming Li, Miao Liao, and Peter van Beek, Sharp Labs of America (United States)
9:30IRIACV-260
The acceleration effect to the perception of velocity difference in passive elbow flexion movement, Fumihiro Akatsuka and Yoshihiko Nomura, Mie University (Japan)
9:50IRIACV-261
Targeted intelligent autonomous robotics contest: The European Roboathlon, Juha Röning, University of Oulu (Finland)
10:00 AM – 4:00 PM Industry Exhibition
10:10 – 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
Cypress C
10:50IRIACV-262
Application of big data analytics for recognition of microbial colonies from hyperspectral images, Seung-Chul Yoon, Kurt Lawrence, Bosoon Park, and Gary Gamble, US Department of Agriculture-Agricultural Research Service (United States)
11:10IRIACV-263
Weaving pattern recognition of ancient Chinese textiles by regular bands analysis, Connie C.W. Chan, K. S. (Sammy) Li, and Henry Ngan, Hong Kong Baptist University (Hong Kong)
11:30IRIACV-264
Finding a needle in a haystack: Recognizing surgical instruments through vision and manipulation, Tian Zhou and Juan Wachs, Purdue University (United States)
11:50IRIACV-265
Automatic detection of plant roots in multispectral images, Nisha Srinivas, Justin Baba, Colleen Iverson, Joanne Childs, Richard Norby, and Vincent Paquit, Oak Ridge National Laboratory (United States)
12:10IRIACV-266
Education in industrial machine vision in Upper Austria University of Applied Sciences (bachelor/master) with respect to the needs by the European industry and automation engineering, Kurt Niel, University of Applied Sciences Upper Austria (Austria)
12:30 – 2:00 PM Lunch Break
EI 2017 Wednesday Plenary and Symposium Awards
Session Chairs: Joyce E. Farrell, Stanford University, and Nitin Sampat, Rochester Institute of Technology (United States)
2:00 – 3:00 PM
Grand Peninsula Ballroom D
Designing VR video camera systems, Brian Cabral, Facebook, Inc. (United States)
Brian Cabral is Director of Engineering at Facebook, leading the Surround 360 VR camera team, specializing in computational photography, computer vision, and computer graphics. He has published a number of papers in the area of computer graphics and imaging including the pioneering Line Integral Convolution algorithm. Cabral discusses developing Facebook Surround 360, an open, high-quality 3D-360 video capture system. VR video capture systems are composed of multiple optical and digital components - all of which must operate as if they are one seamless optical system. The design of VR video cameras, optical choices, SNR, etc., require a new set of technologies and engineering approaches, with tight coupling to the computational system components.
3:00 – 3:30 PM Coffee Break
Pattern Recognition and Inspection
Session Chair:
Henry Ngan, Hong Kong Baptist University (Hong Kong)
3:30 – 5:10 PM
Cypress C
3:30IRIACV-267
Unsupervised video segmentation and its application to region-based local contrast enhancement, Sungbum Park1, Woo-sung Shim1, and Yong Seok Heo2; 1Samsung and 2Ajou University (Republic of Korea)
3:50IRIACV-268
High-precision 3D sensing with hybrid light field & photometric stereo approach in multi-line scan framework, Doris Antensteiner1, Svorad Štolc1, Kristián Valentín1, Bernhard Blaschitz1, Reinhold Huber-Mörk1, and Thomas Pock1,2; 1AIT Austrian Institute of Technology GmbH and 2Graz University of Technology (Austria)
4:10IRIACV-269
Line-scan stereo using binary descriptor matching and regularization, Svorad Štolc, Kristián Valentín, Bernhard Blaschitz, and Reinhold Huber-Mörk, AIT Austrian Institute of Technology GmbH (Austria)
4:30IRIACV-270
Traffic Camera Dangerous Driver Detection (TCD3 TM): Contextually aware heuristic feature & OFA density-based computer vision with movement machine learning analysis of live streaming traffic camera footage to identify anomalous & dangerous driving, Vidur Prasad, University of Michigan (United States)
4:50IRIACV-272
Outlier detection in large-scale traffic data by naïve bayes method and Gaussian mixture model method, Philip Lam1, Lili Wang1, Henry Ngan1, Nelson H.C. Yung2, and Anthony G. O. Yeh2; 1Hong Kong Baptist University and 2The University of Hong Kong (Hong Kong)
5:30 – 7:00 PM Symposium Interactive Papers (Poster) Session, Atrium
5:30 – 7:00 PM Meet the Future: A Showcase of Student and Young Professionals Research, Atrium