EECE 5698: Networked XR Systems, Spring 2024

Logistics

Instructor: Mallesham Dasari
Office: 650D EXP Building
   
Class Times: TuFr 9:50AM-11:30AM
Class Room: Room 129, Forsyth Building
Office Hours: WedTh 4:00PM-5:00PM; also on Appointment or open doors
Contact: m.dasari@northeastern.edu

News

Class Description

This is an interdisciplinary course covering the following topics from emerging multimedia, computer networks, vision and graphics. In addition to the regular lectures, the class will also have experiential sessions with a vareity of state-of-the-art XR headsets in the market.

Grading Criteria

Tentative Class Schedule

Subject to minor tweaks throughout the semester.
Date Topics Lecture slides & Readings Notes
01/09 Introduction, networked applications, properties, basics of XR systems. Lecture Slides
01/12 XR headsets, internals, hardware, software, and tools. Lecture Slides , Open3D basics. Homework1 out. Due 01/22.
01/16 Sensors, cameras, depth sensors, lidars, sensing, algorithms. Lecture Slides
01/19 3D data structures, point clouds, depth maps, geometric meshes, neural representations, mono, stereo, and multiview. Lecture Slides
01/23 Capturing 3D data for network transmission, outside-in and inside-out capture, latency and bandwidth trade-offs. Lecture Slides
01/26 Compression fundamentals, 2D video compression. Lecture Slides
01/30 Depth map compression, adopting 2D video codecs, standalone depth compression. Lecture Slides , Depth compression methods based on standard video codecs. Homework2 out. Due 02/12.
02/02 Point cloud compression, MPEG VPCC, GPCC. Lecture Slides
02/06 Geometric mesh compression, Draco, Inter-frame mesh compression. Lecture Slides
02/09 Machine learning advances in compression. Lecture Slides
02/13 Class canceld due winter storm.
02/16 Streaming fundamentals, on-demand, conference calls, live broadcasting. Lecture Slides
02/20 2D video streaming, adaptive bitrate algorithms. Lecture Slides Homework3 out. Due 03/01.
02/23 360-degree video streaming. Lecture Slides Project idea due.
02/27 Point cloud streaming, point cloud quality metrics, adaptive algorithms. Lecture Slides
03/01 Mesh streaming, decimation, mesh quality metrics, adaptive algorithms. Lecture Slides
03/05 Spring break, No class
03/08 Spring break, No class
03/12 Progressive transmission of XR content. Lecture Slides Homework4 out. Due 03/21.
03/15 XR Experiences Session
03/19 Class in and about Metaverse.
03/22 Instructor out of town, No class
03/26 Rendering basics, Real time rendering, Performance, Rendering offloading. Lecture Slides
03/29 Edge rendering, local streaming, WiFi, mmWave, THz, optical links, challenges and opportunities. Lecture Slides
04/02 Hybrid rendering, optimal scheduling, WebRTC. Lecture Slides Project midterm evaluation.
04/05 Tracking Fundamentals: Eye tracking, head tracking, outside-in, inside-out tracking Lecture Slides
04/09 Tracking Fundamentals: Hand tracking, full body tracking, face tracking Lecture Slides
04/12 RF Tracking, sensor fusion for tracking, RF, Visual and IMU sensor fusion. Lecture Slides
04/16 Instructor out of town, No class
04/19 Advances in neural rendering, implicit representations for XR systems.
04/26 Final project submission.

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