Unveiled in May 2007, Google Street View is the result of a substantial engineering effort by a team including software engineers, mechanical engineers, UI designers, computer vision scientists, operations experts, and scores of others. The initial vision for Street View was provided by Google co-founder & CEO Larry Page, who personally collected street scene videos from his moving car in order to bootstrap research in this area. Turning this initial vision into a compelling product required developing major new pieces of technology, including robust data collection platforms (vans, cars, tricycles, snowmobiles, trolleys, trekkers, etc.), systems for computing accurate pose from imperfect sensors, various software components to stitch, blend, color correct and warp collected imagery, a variety of systems to address privacy issues, AJAX software components to integrate Street View to Google Maps, and much, much more. Perhaps the biggest challenge of all is that of managing the scale Street View has been able to achieve, with operations in over 40 countries, petabytes of imagery, enormous web traffic to 5M miles of panoramic imagery in 43 countries (and counting), and a constant flow of new data. This talk will go over some of these challenges and give the audience a peek at the Street View project from behind the scene.
Luc Vincent, Engineering Director, started his Google career in 2004 by taking an engineering leadership role with the Google Books team, focusing on OCR (Optical Character Recognition). While on the Books team, he spent his "20% time" developing the project that became Street View. He then moved to Google's Geo organization to lead the Street View project, helping the service significantly expand and grow across the world. His team is now responsible for basically all imagery that appears on Google Maps.
Before Google, Luc was Chief Scientist, and then Vice President of Document Imaging, at LizardTech, a developer of advanced image compression software. Prior to this, he led an R&D team at the prestigious Xerox Palo Alto Research Center (PARC). He was also Director of Software Development at Scansoft (now Nuance) and held various technical management and individual contributor positions at Xerox Corporation.
Luc has over 60 publications in the area of vision, image analysis and document understanding. He recently served as an Associate Editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) and for the Journal of Electronic Imaging. He has also served as in leadership roles for SPIE's conference on Document Recognition, the International Symposium on Mathematical Morphology (ISMM), and the program committee of numerous conferences and workshops.
Luc earned his B.S. from Ecole Polytechnique in 1986, M.S. in Computer Science from University of Paris XI, and a PhD in Mathematical Morphology from the Ecole des Mines de Paris.
The agenda for this event is:
5:30 - 6:30 pm: Attendees Register / Networking
6:30 - 6:35 pm: Welcome & Intro
6:35 - 7:35 pm: Presentations
7:35 - 8:00 pm: Q/A
Please note the change in venue to the 8th Avenue side of the building. If you mistakenly go to the 9th avenue entrance, building security will ask you to walk around the building (on the outside!) to the 8th Avenue side.
The RSVP name will be provided to the building security in advance - so please do register with your real name (this will significantly speed up registration). To allow all participants (in the community) to get a clear visibility into their schedules; for all upcoming talks we will make seating reservable one week prior to the event on October 10th at 2:30 pm.
Google volunteers will also be present at the event to answer any questions you may have, look for people who are wearing "Google Wear".
See you there!