David Brainard, University of Pennsylvania, United States, ISETBIO: Computational Tools for Modeling Early Human Vision, Invited

Gislin Dagnelie, Wilmer Eye Institute, United States, Clinical Implantation of Retinal Prostheses: What Have We Learned?, Invited

Jason Fleischer, Princeton University, United States, Digital nonlinear imaging, Invited

Min Gu, Swinburne University of Technology, Australia, Optical Long Data Storage Enabled by Nanophotonics , Invited

Kenneth Kubala, FiveFocal, LLC, United States, Invited

Tatiana Latychevskaia, Physics Institute, University of Zurich, Switzerland, Resolution Enhancement in Coherent Imaging Via Extrapolation Beyond Detector Area , Invited

Ofer Levi, University of Toronto, Canada, Optical Wide Field Brain Imaging, Invited

Juan Liu, Beijing Institute of Technology, China, Wearable holographic 3D display system, Invited

Theresa Mayer, Pennsylvania State University, Title to be Determined , Invited

Daniel Palanker, Stanford University, United States, Optical and Electronic Approaches to Restoration of Sight to the Blind , Invited

Dan Reago, Army Nigth Vision Lab, United States, Advanced Imaging Systems in the Army, Invited

Jonathan Waldern, SBG Labs, Inc, United States, Title to be Determinded , Invited

Brian Wandell, Stanford University, United States, Learning the Image Processing Pipeline , Invited

Gordon Wetzstein, Stanford University, United States, Emerging Trends and Applications of Light Field Displays , Invited

Zeev Zalevsky, Bar-Ilan University, Israel, New directions in super resolved imaging, Invited

Hongbin Zha, Applications of 3D digital technology in grottoes heritage research and documentation, Invited

Chair

Joyce Farrell, Stanford University, United States
Byoungho Lee, Seoul National University, South Korea

Program Chair

Kenneth Barnard, US Air Force Research Laboratory, United States
Pietro Ferraro, CNR - Inst Applied Sciences & Intelligen, Italy
Kristina Irsch, Johns Hopkins Univ School of Medicine, United States
Rajesh Menon, University of Utah, United States

Member

Matthew Arnison, Canon Info Sys Research Australia, Australia
Ravindra Anant Athale, Office of Naval Research, United States
Gisele Bennett, Georgia Tech Research Institute, United States
Kathrin Berkner, Ricoh Innovations, Inc., United States
Peter Catrysse, Stanford University, United States
Chau-Jern Cheng, National Taiwan Normal University, Taiwan
Cosimo Distante, Consiglio nazionale delle Ricerche INO, Italy
Frank Dubois, Universite Libre de Bruxelles, Belgium
James Fienup, University of Rochester, United States
Boyd Fowler, Google, United States
Michael Groenert, NVESD, 
Ginni Grover, Intel Labs, United States
Francisco Imai, Canon USA, Inc., United States
Hwi Kim, Korea University, South Korea
Bernard Kress, Google, United States
Michael Kriss, MAK Consultants, United States
Ofer Levi, University of Toronto, Canada
Dale Linne von Berg, US Naval Research Laboratory, United States
Osamu Matoba, Kobe University, Japan
Lingfei Meng, Ricoh Innovations Corporation, United States
Ren Ng, Lytro, United States
Fabio Remondino, Fondazione Bruno Kessler, 
Todd Sachs, Aptina Imaging, United States
John Sheridan, University College Dublin, Ireland
Torbjorn Skauli, Norwegian Defense Research Establishment, Norway
Laura Waller, University of California Berkeley, United States
Yongtian Wang, Beijing Institute of Technology, China
Abbie Watnik, US Naval Research Laboratory, United States
Zeev Zalevsky, Bar-Ilan University, Israel

Conference Plenary Sessions

Tuesday, 9 June, 08:00 - 09:30
John Mather,  NASA Goddard Space Flight Center, USA
Shree Nayar, Columbia University, USA

Wednesday, 10 June, 09:00 – 10:00
W.E. Moerner, Stanford University, USA

Conference Reception

Monday, 8 June, 19:00 – 20:30
Join your fellow attendees for the Congress Reception. Enjoy delectable fare while networking. The reception is open to committee/presenting author/student and full conference attendees. Conference attendees may purchase extra tickets for their guest.

Joint Poster Session

Tuesday, 9 June, 19:00 – 20:30
Posters are an integral part of the technical program and offer a unique networking opportunity, where presenters can discuss their results one-to-one with interested parties. Each author is provided with a board on which to display the summary and results of his or her paper.

International Year of Light Panel on Freeform Optics
Wednesday, 10 June, 19:30 – 21:30, Salon 4
 
Leads
Jannick Rolland, University of Rochester, USA
Julius Muschaweck, ARRI, Germany
 
Panelists
Angela Davies, UNC at Charlotte, USA
Thomas Dresel, Ametek Zygo, USA
Christoph Menke, Carl Zeiss, Germany
Joseph Owen, UNC at Charlotte, USA
Kevin Thompson, Synopsys, USA

John Mather

NASA’s Goddard Space Flight Center, USA
Nobel Prize in Physics 2006
The James Webb Space Telescope 

NASA’s James Webb Space Telescope (JWST), planned for launch in October 2018, utilizes high performance imaging optics to see beyond what the great Hubble Space Telescope can see, farther away and farther back in time.   It will be the workhorse telescope for a generation of space astronomers, opening the infrared (0.6-28 µm) window with a 6.6 m aperture cold telescope. To test it end-to-end, we have developed remarkable laser interferometer technologies, with computer-generated holograms to test the primary mirror, and it must all be done cold and in a vacuum tank.  I will outline the mission design, the scientific objectives, and the current status.

John Mather is a Senior Astrophysicist and is the Senior Project Scientist for the James Webb Space Telescope at NASA’s Goddard Space Flight Center (GSFC) where his research centers on infrared astronomy and cosmology.  He led proposal efforts for the Cosmic Background Explorer (COBE), which ultimately enabled the COBE team to show that the cosmic microwave background radiation has a blackbody spectrum within 50 parts per million, confirming the expanding universe model (the Big Bang Theory) and initiating the study of cosmology as a precision science. The COBE team also first mapped the hot and cold spots in the background radiation (anisotropy), now attributed to quantum fluctuations in an inflationary period in the first 10-36 sec of the universe; Stephen Hawking called their discovery “the most important scientific discovery of the century, if not of all time.”

W.E. Moerner

Stanford University, USA
Nobel Prize Winner in Chemistry 2014

W. E. Moerner, the Harry S. Mosher Professor of Chemistry and Professor, by courtesy, of Applied Physics at Stanford University, conducts research in physical chemistry and chemical physics of single molecules, single-molecule biophysics, super-resolution imaging and tracking in cells, and trapping of single molecules in solution. His interests span methods of precise quantitation of single-molecule properties, to strategies for three-dimensional imaging and tracking of single molecules, to applications of single-molecule measurements to understand biological processes in cells, to observations of the photodynamics of single photosynthetic proteins and enzymes. He has been elected Fellow/Member of the NAS, American Academy of Arts and Sciences, AAAS, ACS, APS, and The Optical Society. Major awards include the Earle K. Plyler Prize for Molecular Spectroscopy, the Irving Langmuir Prize in Chemical Physics, the Pittsburgh Spectroscopy Award, the Peter Debye Award in Physical Chemistry, the Wolf Prize in Chemistry, and the 2014 Nobel Prize in Chemistry.

Shree Nayar

Columbia University, USA

Advances in Computational Imaging
Computational imaging uses new optics to capture a coded image, and an appropriate algorithm to decode the captured image. This approach of manipulating images before there are recorded and processing recorded images before they are presented has three key benefits. First, it enables us to implement imaging functionalities that would be difficult, if not impossible, to achieve using traditional imaging. Second, it can be used to significantly reduce the hardware complexity of an imaging system. Lastly, under appropriate imaging conditions, it allows us to break the limits of traditional imaging. In this talk, I'll show recent examples of cameras that demonstrate these benefits.

Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory (CAVE), which develops advanced computer vision systems. His research is focused on three areas - the creation of novel cameras that provide new forms of visual information, the design of physics based models for vision and graphics, and the development of algorithms for understanding scenes from images. His work is motivated by applications in the fields of digital imaging, computer graphics, robotics and human-computer interfaces.

Nayar received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University. For his research and teaching he has received several honors including the David Marr Prize (1990 and 1995), the David and Lucile Packard Fellowship (1992), the National Young Investigator Award (1993), the NTT Distinguished Scientific Achievement Award (1994), the Keck Foundation Award for Excellence in Teaching (1995), the Columbia Great Teacher Award (2006), and the Carnegie Mellon Alumni Achievement Award (2009). For his contributions to computer vision and computational imaging, he was elected to the National Academy of Engineering in 2008, the American Academy of Arts and Sciences in 2011, and the National Academy of Inventors in 2014.