Panel: Sensing and Perceiving for Autonomous Driving

This session is jointly sponsored by the EI Steering Committee.

Driver assistance and autonomous driving rely on perceptual systems that combine data from many different sensors, including camera, ultrasound, radar and lidar. This panel will discuss the strengths and limitations of different types of sensors and how the data from these sensors can be effectively combined to enable autonomous driving.

Moderator: Dr. Wende Zhang Technical Fellow at General Motors

Panelist: Dr. Boyd Fowler CTO, Omnivision Technologies

Panelist: Dr. Jun Pei CEO and Co-Founder, Cepton Technologies Inc.

Panelist: Dr. Amnon Shashua Professor of Computer Science at Hebrew University, President and CEO, Mobileye, an Intel Company, and Senior Vice President, Intel Corporation

Panelist: Dr. Christoph Schroeder Head of Autonomous Driving N.A. Mercedes-Benz R&D Development North America, Inc.

High Dynamic Range Imaging I

PMII-579
KEYNOTE: High dynamic range imaging: History, challenges, and opportunities, Greg Ward, Dolby Laboratories, Inc. (United States)

Greg Ward is a pioneer in the HDR space, having developed the first widely-used high dynamic range image file format in 1986 as part of the RADIANCE lighting simulation system. Since then, he has developed the LogLuv TIFF HDR and the JPEG-HDR image formats, and created Photosphere, an HDR image builder and browser. He has been involved with BrightSide Technology and Dolby's HDR display developments. He is currently a Senior Member of Technical Staff for Research at Dolby Laboratories. He also consults for the Lawrence Berkeley National Lab on RADIANCE development, and for IRYStec, Inc. on OS-level mobile display software.

Camera Pipelines and Processing I

PMII-582
KEYNOTE: Unifying principles of camera processing pipeline in the rapidly changing imaging landscape, Keigo Hirakawa, University of Dayton (United States)

Keigo Hirakawa is an associate professor at the University of Dayton. Prior to UD, he was with Harvard University as a Research Associate of the Department of Statistics. He simultaneously earned his PhD in electrical and computer engineering from Cornell University and his MM in jazz performance from New England Conservatory of Music. Hirakawa received his MS in electrical and computer engineering from Cornell University and BS in electrical engineering from Princeton University. He is an associate editor for IEEE Transactions on Image Processing and for SPIE/IS&T Journal of Electronic Imaging, and served on the technical committee of IEEE SPS IVMSP as well as the organization committees of IEEE ICIP 2012 and IEEE ICASSP 2017. He has received a number of recognitions, including a paper award at IEEE ICIP 2007 and keynote speeches at IS&T CGIV, PCSJ-IMPS, CSAJ, and IAPR CCIW.

Computational Models for Human Optics

This session is jointly sponsored by the EI Steering Committee.

3:30EISS-704
Eye model implementation: Tools for modeling human visual optics (Invited), Andrew Watson, Apple Inc. (United States)

Dr. Andrew Watson is the Chief Vision Scientist at Apple, Inc. in Cupertino, California. In that position he leads the application of vision science to a broad range of Apple technologies, applications, devices and displays. Dr. Watson was an undergraduate at Columbia University and received a PhD in Psychology from the University of Pennsylvania. He subsequently held postdoctoral positions at the University of Cambridge in England and at Stanford University in California. From 1982 to 2016 he was the Senior Scientist for Vision Research at NASA Ames Research Center in California. He is the author of over 100 scientific papers, and he has seven patents, in areas such as acuity measurement, image compression, video quality, and measurement of display artifacts. He has 17748 citations and an h-index of 58. In 1990, he received NASA’s H. Julian Allen Award, and in 1993 he was appointed Ames Associate Fellow for exceptional scientific achievement. In 2011, he received the Presidential Rank Award from the President of the United States.

3:50EISS-700
Wide field-of-view optical model of the human eye (Invited), James Polans, Verily Life Sciences (United States)

Dr. James Polans is an engineer who works on surgical robotics at Verily Life Sciences in South San Francisco. Dr. Polans received his Ph.D. in biomedical engineering from Duke University under the mentorship of Joseph Izatt. His doctoral work explored the design and development of wide field-of-view optical coherence tomography systems for retinal imaging. He also has a M.S. in electrical engineering from the University of Illinois at Urbana-Champaign.

4:10EISS-702
Evolution of the Arizona Eye Model (Invited), Jim Schwiegerling, University of Arizona (United States)

Prof. Jim Schwiegerling is a Professor in the College of Optical Sciences at the University of Arizona. His research interests include the design of ophthalmic systems such as corneal topographers, ocular wavefront sensors and retinal imaging systems. In addition to these systems, Dr. Schwiegerling has designed a variety of multifocal intraocular and contact lenses and has expertise in diffractive and extended depth of focus systems.

4:30EISS-705
Berkeley Eye Model (Invited), Brian Barsky, University of California, Berkeley (United States)

Prof. Brian Barsky is Professor of Computer Science and Affiliate Professor of Optometry and Vision Science at UC Berkeley. He attended McGill University, Montréal, received a DCS in engineering and a BSc in mathematics and computer science. He studied computer graphics and computer science at Cornell University, Ithaca, where he earned an MS degree. His PhD is in computer science from the University of Utah, Salt Lake City. He is a Fellow of the American Academy of Optometry. His research interests include computer aided geometric design and modeling, interactive three-dimensional computer graphics, visualization in scientific computing, computer aided cornea modeling and visualization, medical imaging, and virtual environments for surgical simulation.

4:50EISS-701
Modeling retinal image formation for light field displays (Invited), Hekun Huang, Mohan Xu, and Hong Hua, University of Arizona (United States)

Prof. Hong Hua is a Professor of Optical Sciences at the University of Arizona. With over 25 years of experience, Dr. Hua is widely recognized through academia and industry as an expert in wearable display technologies and optical imaging and engineering in general. Dr. Hua’s current research focuses on optical technologies enabling advanced 3D displays, especially head-mounted display technologies for virtual reality and augmented reality applications, and microscopic and endoscopic imaging systems for medicine. Dr. Hua has published over 200 technical papers and filed a total of 23 patent applications in her specialty fields, and delivered numerous keynote addresses and invited talks at major conferences and events worldwide. She is an SPIE Fellow and OSA senior member. She was a recipient of NSF Career Award in 2006 and honored as UA Researchers @ Lead Edge in 2010. Dr. Hua and her students shared a total of 8 “Best Paper” awards in various IEEE, SPIE and SID conferences. Dr. Hua received her Ph.D. degree in Optical Engineering from the Beijing Institute of Technology in China in 1999. Prior to joining the UA faculty in 2003, Dr. Hua was an Assistant Professor with the University of Hawaii at Manoa in 2003, was a Beckman Research Fellow at the Beckman Institute of University of Illinois at Urbana-Champaign between 1999 and 2002, and was a post-doc at the University of Central Florida in 1999.

5:10EISS-703
Ray-tracing 3D spectral scenes through human optics (Invited), Trisha Lian, Kevin MacKenzie, and Brian Wandell, Stanford University (United States)

Trisha Lian is an Electrical Engineering PhD student at Stanford University. Before Stanford, she received her bachelor’s in Biomedical Engineering from Duke University. She is currently advised by Professor Brian Wandell and works on interdisciplinary topics that involve image systems simulations. These range from novel camera designs to simulations of the human visual system.

Automotive Image Sensing I

This session is jointly sponsored by: Autonomous Vehicles and Machines 2019, Image Sensors and Imaging Systems 2019, and Photography, Mobile, and Immersive Imaging 2019.

10:50IMSE-050
KEYNOTE: Recent trends in the image sensing technologies, Vladimir Koifman, Analog Value Ltd. (Israel)

Vladimir Koifman is a founder and CTO of Analog Value Ltd. Prior to that, he was co-founder of Advasense Inc., acquired by Pixim/Sony Image Sensor Division. Prior to co-founding Advasense, Mr. Koifman co-established the AMCC analog design center in Israel and led the analog design group for three years. Before AMCC, Mr. Koifman worked for 10 years in Motorola Semiconductor Israel (Freescale) managing an analog design group. He has more than 20 years of experience in VLSI industry and has technical leadership in analog chip design, mixed signal chip/system architecture and electro-optic device development. Mr. Koifman has more than 80 granted patents and several papers. Mr. Koifman also maintains Image Sensors World blog.

11:30AVM-051
KEYNOTE: Solid-state LiDAR sensors: The future of autonomous vehicles, Louay Eldada, Quanergy Systems, Inc. (United States)

Louay Eldada is CEO and co-founder of Quanergy Systems, Inc. Dr. Eldada is a serial entrepreneur, having founded and sold three businesses to Fortune 100 companies. Quanergy is his fourth start-up. Dr. Eldada is a technical business leader with a proven track record at both small and large companies and with 71 patents, is a recognized expert in quantum optics, nanotechnology, photonic integrated circuits, advanced optoelectronics, sensors and robotics. Prior to Quanergy, he was CSO of SunEdison, after serving as CTO of HelioVolt, which was acquired by SK Energy. Dr. Eldada was earlier CTO of DuPont Photonic Technologies, formed by the acquisition of Telephotonics where he was founding CTO. His first job was at Honeywell, where he started the Telecom Photonics business and sold it to Corning. He studied business administration at Harvard, MIT and Stanford, and holds a PhD in optical engineering from Columbia University.

Light Field Imaging and Display

This session is jointly sponsored by the EI Steering Committee.

3:30EISS-706
Light fields - From shape recovery to sparse reconstruction (Invited), Ravi Ramamoorthi, University of California, San Diego (United States)

Prof. Ravi Ramamoorthi is the Ronald L. Graham Professor of Computer Science, and Director of the Center for Visual Computing, at the University of California, San Diego. Ramamoorthi received his PhD in computer science in 2002 from Stanford University. Prior to joining UC San Diego, Ramamoorthi was associate professor of EECS at the University of California, Berkeley, where he developed the complete graphics curricula. His research centers on the theoretical foundations, mathematical representations, and computational algorithms for understanding and rendering the visual appearance of objects, exploring topics in frequency analysis and sparse sampling and reconstruction of visual appearance datasets a digital data-driven visual appearance pipeline; light-field cameras and 3D photography; and physics-based computer vision. Ramamoorthi is an ACM Fellow for contributions to computer graphics rendering and physics-based computer vision, awarded on Dec 2017, and an IEEE Fellow for contributions to foundations of computer graphics and computer vision, awarded Jan 2017.

4:10EISS-707
The beauty of light fields (Invited), David Fattal, LEIA Inc. (United States)

Dr. David Fattal is co-founder and CEO at LEIA Inc., where hs is in charge of bringing their mobile holographic display technology to market. Fattal received his PhD in physics from Stanford University in 2005. Prior to founding LEIA Inc., Fattal was a research scientist with HP Labs, HP Inc. At LEIA Inc., the focus is on immersive mobile, with screens that come alive in richer, deeper, more beautiful ways. Flipping seamlessly between 2D and lightfields, mobile experiences become truly immersive: no glasses, no tracking, no fuss. Alongside new display technology LEIA Inc. is developing Leia Loft™ — a whole new canvas.

4:30EISS-708
Light field insights from my time at Lytro (Invited), Kurt Akeley, Google Inc. (United States)

Dr. Kurt Akeley is a Distinguished Engineer at Google Inc. Akeley received his PhD in stereoscopic display technology from Stanford University in 2004, where he implemented and evaluated a stereoscopic display that passively (e.g., without eye tracking) produces nearly correct focus cues. After Stanford, Dr. Akeley worked with OpenGL at NVIDIA Incorporated, was a principal researcher at Microsoft Corporation, and a consulting professor at Stanford University. In 2010, he joined Lytro Inc. as CTO. During his seven-year tenure as Lytro's CTO, he guided and directly contributed to the development of two consumer light-field cameras and their related display systems, and also to a cinematic capture and processing service that supported immersive, six-degree-of-freedom virtual reality playback.

4:50EISS-709
Quest for immersion (Invited), Kari Pulli, Stealth Startup (United States)

Dr. Kari Pulli has spent two decades in computer imaging and AR at companies such as Intel, NVIDIA and Nokia. Before joining a stealth startup, he was the CTO of Meta, an augmented reality company in San Mateo, heading up computer vision, software, displays, and hardware, as well as the overall architecture of the system. Before joining Meta, he worked as the CTO of the Imaging and Camera Technologies Group at Intel, influencing the architecture of future IPU’s in hardware and software. Prior, he was vice president of computational imaging at Light, where he developed algorithms for combining images from a heterogeneous camera array into a single high-quality image. He previously led research teams as a senior director at NVIDIA Research and as a Nokia Fellow at Nokia Research, where he focused on computational photography, computer vision, and AR. Kari holds computer science degrees from the University of Minnesota (BSc), University of Oulu (MSc, Lic. Tech), and University of Washington (PhD), as well as an MBA from the University of Oulu. He has taught and worked as a researcher at Stanford, University of Oulu, and MIT.

5:10EISS-710
Industrial scale light field printing (Invited), Matthew Hirsch, Lumii Inc. (United States)

Dr. Matthew Hirsch is a co-founder and Chief Technical Officer of Lumii. He worked with Henry Holtzman's Information Ecology Group and Ramesh Raskar's Camera Culture Group at the MIT Media Lab, making the next generation of interactive and glasses-free 3D displays. Matthew received his bachelors from Tufts University in Computer Engineering, and his Masters and Doctorate from the MIT Media Lab. Between degrees, he worked at Analogic Corp. as an Imaging Engineer, where he advanced algorithms for image reconstruction and understanding in volumetric x-ray scanners. His work has been funded by the NSF and the Media Lab consortia, and has appeared in SIGGRAPH, CHI, and ICCP. Matthew has also taught courses at SIGGRAPH on a range of subjects in computational imaging and display, with a focus on DIY.