Springfield, VA (PRWEB) July 13, 2016
Electronic Imaging is a multidisciplinary field central to many of today’s cutting-edge technologies, from virtual reality and autonomous vehicles to biotechnology and intelligent robots. In an effort to promote technological advances, share research progress in the field, and build on new ideas, the Society for Imaging Science and Technology (IS&T) has made the conference proceedings for the 2016 Electronic Imaging Symposium (EI) available for free download on the IS&T Digital Library.
The proceedings feature more than 500 papers and the work of the world’s top researchers and developers in all aspects of electronic imaging.
The Symposium, held February 14-18, 2016, in San Francisco, included 20 individual conferences that covered imaging topics ranging from augmented and virtual reality displays and processing to human vision, color, perception, and cognition. (See “About Electronic Imaging” below for more information about the Symposium, including the full list of 2017 conferences.)
This is the first year the Electronic Imaging proceedings have been made available for free download. IS&T plans to make subsequent Symposium proceedings available for free, including the proceedings for next year’s conference.
The 2017 Symposium returns to Silicon Valley in January, taking place January 29–February 2, 2017, at the Hyatt Regency San Francisco Airport in Burlingame, CA. Papers are currently being accepted for review; the submission deadline is July 25, 2016.
Three plenary speakers are confirmed for the 2017 event:
- Brian Cabral, Director of Engineering at Facebook, who will discuss the work he and his team have done on Facebook Surround 360, an open, high-quality 3D-360 video capture system. At Facebook, Cabral specializes in computational photography, computer vision, and computer graphics and leads the Surround 360 VR camera team.
- Laura Waller, Head of UC Berkeley’s Computational Imaging Lab, will feature her team's work on computational imaging, particularly as it applies to medical imaging. Berkeley's Computational Imaging Lab develops new methods for optical imaging, with a specific focus on measuring and controlling wave effects in microscopes and cameras.
- Gordon Wetzstein, Leader of the Stanford Computational Imaging Group, will focus on light field imaging capture and display, especially in the context of VR imaging technologies. The Stanford Computational Imaging Group is an interdisciplinary group focused on advanced imaging, microscopy, and display systems.
The 2017 program features 18 technical conferences—including the newly established Autonomous Vehicles and Machines— and two new topics: “Computer Vision Applications in Sports” and “Surveillance: Applications and Algorithms.” The conference program is augmented by technical courses taught by experts from academia and industry. Technology demonstrations and a focused exhibition showcase the latest developments driving next-generation electronic imaging products.
About IS&T: The Society for Imaging Science and Technology (IS&T) is an international professional non-profit dedicated to keeping members and other imaging professionals apprised of the latest developments in the field through conferences, educational programs, publications, and its website. IS&T programs encompass all aspects of the imaging workflow, which moves from capture (sensors, cameras) through image processing (image quality, color, and materialization) to hard and soft copy output (printing, displays, image permanence), and includes aspects related to human vision, such as image quality and color. The Society also focuses on a wide range of image-related applications, including security, virtual reality, machine vision, and data analysis. Follow IS&T on Twitter: @ImagingOrg
About Electronic Imaging: For nearly 30 years, the Electronic Imaging Symposium has been serving those in the broad community—from academia and industry—who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, cameras) through image processing (image quality, color, and appearance) to how we see and interpret images. For more information, follow @ElectroImaging on Twitter and visit the EI YouTube channel, which features presentation videos (including two keynote talks) from the Stereoscopic Displays and Applications 2016 conference at EI and video of the EI 2016 Plenary talk by Audrey Bowden, Stanford University.
EI 2017 conferences:
- 3D Image Processing, Measurement (3DIPM), and Applications 2017
- New conference: Autonomous Vehicles and Machines 2017
- Color Imaging XXII: Displaying, Processing, Hardcopy, and Applications
- Computational Imaging XV
- Digital Photography and Mobile Imaging XIII
- The Engineering Reality of Virtual Reality 2017
- Human Vision and Electronic Imaging 2017
- Image Processing: Algorithms and Systems XV
- Image Quality and System Performance XIV
- Image Sensors and Imaging Systems 2017
- Imaging and Multimedia Analytics in a Web and Mobile World 2017
- Intelligent Robotics and Industrial Applications using Computer Vision 2017
- Material Appearance 2017
- Media Watermarking, Security, and Forensics 2017
- Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2017
- Stereoscopic Displays and Applications XXVIII
- Visual Information Processing and Communication VIII
- Visualization and Data Analysis 2017
- New topic: Computer Vision Applications in Sports
- New topic: Surveillance: Applications and Algorithms