Organizers

Sean Fanello, Julien Valentin, Jonathan Taylor, Christoph Rhemann, Adarsh Kowdle, Jürgen Sturm,

Christine Kaeser-Chen, Pavel Pidlypenskyi, Rohit Pandey, Andrea Tagliasacchi, Sameh Khamis,

David Kim, Mingsong Dou, Kaiwen Guo, Danhang Tang, Sofien Bouaziz, Shahram Izadi

Google

Description

The emergence of virtual and augmented reality has increased the demand of robust systems for 3D capture, reconstruction and understanding. Designing such systems involves developing high quality sensors and efficient algorithms that can leverage new and existing technologies. To this end, we design depth sensors with two properties that drastically simplify the problem of fusing incomplete sensor data. First, an UltraFast depth stream that significantly reduces the frame to frame motion. Second, by allowing multiple sensors to be easily combined (without interference) we can eliminate occlusions. As a result, we have developed a wide range of efficient algorithms for reconstruction, tracking and understanding that are designed to work with this technology. In this tutorial we will walk the audience through the ins and outs of building such a stack from the ground up. From building such a sensor to applications for mixed reality with particular emphasis on high speed 3D capture systems.

When and Where

September 8th, Technische Universität München (TU), Arcisstraße 21 80333 Munich

Program

                                       
Time
Title
Speaker
9:00 - 9:15
Introduction
Shahram Izadi
Google
Morning Session:
Depth Sensors, 3D Capture & Camera Tracking
9:15 - 9:45
Depth Sensors and Algorithms: What, When, Where
Sean Fanello
Google
9:45 - 10:15
Triangulation Methods: Basics and Challenges
Christoph Rhemann
Google
10:15 - 10:30
Low Compute and Fully Parallel Computer Vision with HashMatch
Julien Valentin
Google
10:30 - 11:00
Coffee Break
11:00 - 11:15
Depth Completion of a Single RGB-D Image
Yinda Zhang
Princeton University / Google
11:15 - 11:35
Depth Estimation in the Age of Deep Learning
Sameh Khamis
Google
11:35 - 11:50
Learning a Multi-View Stereo Machine
Christian Haene
Google
11:50 - 12:30
Localization and Mapping - ARCore
Konstantine Tsotsos
Google
12:30 - 13:30
Lunch Break
Afternoon Session:
World and Human Reconstruction and Understanding
13:30 - 13:45
3D Scene Reconstruction
Thomas Funkhouser
Princeton University / Google
13:45 - 14:00
3D Scene Understanding
Martin Bokeloh
Google
14:00 - 14:15
Coffee Break
14:15 - 14:45
Non-Linear Optimization Methods
Andrea Tagliasacchi
Google
14:45 - 15:00
Parametric Tracking of Hands
Anastasia Tkach
Google
15:00 - 15:15
Parametric Tracking of Faces
Sofien Bouaziz
Google
15:15 - 15:30
Coffee Break
15:30 - 16:00
Non Rigid Reconstruction of Humans
Kaiwen Guo
Google
16:00 - 16:15
Real-time Compression and Streaming of 4D Performances
Danhang Tang
Google
16:15 - 16:30
Neural rendering for Performance Capture
Ricardo Martin Brualla
Google

Please contact Shahram Izadi or Sean Fanello if you have any questions or to request the slides.