Title:
Perception at Magic Leap

dc.contributor.author Swaminathan, Ashwin
dc.contributor.corporatename Georgia Institute of Technology. Machine Learning en_US
dc.contributor.corporatename Magic Leap en_US
dc.date.accessioned 2019-05-08T13:59:33Z
dc.date.available 2019-05-08T13:59:33Z
dc.date.issued 2019-04-19
dc.description Presented on April 19, 2019 at 2:00 p.m. in the Marcus Nanotechnology Building, Room 1116. en_US
dc.description Ashwin Swaminathan is part of computer vision team at Magic Leap where he leads a team researching on simultaneous localization and mapping, object recognition, visual inertial odometry, and scene semantics. Prior to joining Magic Leap, he was with Qualcomm Research in San Diego from 2008 to 2015. At Qualcomm Research, he was involved in various computer vision and machine learning projects for applications in augmented reality and context-aware computing on mobile phones. In addition, he was involved in Qualcomm’s efforts in robotics and drones. en_US
dc.description Runtime: 51:54 minutes en_US
dc.description.abstract This talk presents the importance of Computer Vision and Deep learning techniques in making Magic Leap an effective spatial computing platform. The four fundamental modalities are introduced: head pose tracking, world reconstruction, eye tracking, and hand tracking; emphasizing on the two main general themes: Understanding the world (spatial localization, environment mapping) and Understanding user’s intent (eye, gaze, and hands). The talk will provide a deep dive into the main modalities along with key challenges and open problems. We will go over some technical challenges that our team of researchers and engineers are tacking to make computer vision work for see-through wearable Mixed Reality device. We will start with an overview of the past 5 years of development in inside-out pose estimation (Visual Inertial Odometry), scene reconstruction, eye tracking, and sensor calibration and then dive into the long list of technical challenges that are left to solve. en_US
dc.format.extent 51:54 minutes
dc.identifier.uri http://hdl.handle.net/1853/61042
dc.language.iso en_US en_US
dc.relation.ispartofseries Machine Learning @ Georgia Tech (ML@GT) Seminar Series
dc.subject Augmented reality en_US
dc.subject Computer vision en_US
dc.subject Deep learning en_US
dc.title Perception at Magic Leap en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Machine Learning Center
local.contributor.corporatename College of Computing
local.relation.ispartofseries ML@GT Seminar Series
relation.isOrgUnitOfPublication 46450b94-7ae8-4849-a910-5ae38611c691
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 9fb2e77c-08ff-46d7-b903-747cf7406244
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