Special Bay Area SID talk at Stanford University

Speaker: Dr. Achin Bhowmilk
Title: Project Alloy with Intel RealSense Technology

Abstract:
 Announced in August 2016 by Intel, Project Alloy is an all-in-one virtual reality solution. The Alloy platform delivers a set of new and immersive experiences – dubbed merged reality – by using Intel’s RealSense technologies that are optimized for VR usages.

Speaker Bio:
 Dr. Achin Bhowmik is vice president and general manager of the perceptual computing group at Intel Corporation, where he leads the research, development, productization, and deployment of advanced computing solutions based on natural sensing and interactions, intuitive interfaces, immersive applications and user experiences, branded as Intel® RealSense Technology. Previously, he served as the chief of staff of the personal computing group, Intel’s largest business unit. Prior to that, he led the development of advanced video and display processing technologies for Intel’s computing products. His prior work includes liquid-crystal-on-silicon microdisplay technology and integrated electro-optical devices. As an adjunct and guest professor, he has advised graduate research and taught courses on advanced sensing and human-computer interactions, computer vision and display technologies at the Liquid Crystal Institute of the Kent State University, Stanford University, University of California, Berkeley, Kyung Hee University, Seoul, and the Indian Institute of Technology, Gandhinagar. He has over 150 publications, including two books titled “Interactive Displays: Natural Human-Interface Technologies” and “Mobile Displays: Technology & Applications” published by Wiley & Sons, and 27 issued patents. Dr. Bhowmik is on the executive committee of the Society for Information Display (SID), and serves as the vice president of SID Americas. He is a senior member of the IEEE. He is on the board of directors for OpenCV, the organization behind the open source computer vision library. He is an associate editor for the Journal of the Society for Information Display.

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Speaker: Matthew O’Toole
Title: Probing Light Paths for 3D Shape and Indirect Appearance

Abstract:
 Programmable coding of light between a source and a sensor has led to several important results in active illumination, including the ability to capture 3D shape. In this talk, we will present a generalized form of active illumination—known as optical probing—that provides a user with unprecedented control over which light paths contribute to a photo. The key idea is to project a sequence of illumination patterns onto a scene, while simultaneously using a second sequence of mask patterns to physically block the light received at select sensor pixels. This all-optical technique enables RAW photos to be captured in which specific light paths are blocked, attenuated, or enhanced. We will show camera prototypes with the ability to (1) record live direct-only or indirect-only video streams of a scene and (2) capture the 3D shape of objects in the presence of complex transport properties and strong ambient illumination.

Speaker Bio: 
Matthew O’Toole is a Banting Postdoctoral Fellow at Stanford’s Computational Imaging group. He received his Ph.D. degree from the University of Toronto in 2016 for his work on active illumination and light transport. He was a visiting student at the MIT Media Lab’s Camera Culture group in 2011, presented a SIGGRAPH course on Computational Cameras and Displays in 2014, and organized the IEEE International Workshop on Computational Cameras and Displays in 2016. His work was the recipient of two “Best Paper Honorable Mention” awards at ICCV 2007 and CVPR 2014, and two “Best Demo” awards at CVPR 2015 and ICCP 2015.

Click here to access slides from this presentation in PDF format.