Dominique E. Meyer

Dominique E. Meyer

Ph.D. Candidate in 3D Computer Vision Systems

University of California San Diego (UCSD)

Biography

Dominique Meyer received his B.S. in Physics at the University of California San Diego in 2017 and is currently a Ph.D. Candidate in the department of Computer Science and Engineering working with Professor Kuester and Christensen. He is part of the Cultural Heritage Engineering Initiative and the Contextual Robotics Institute at UC San Diego, focusing on the development of 3D imaging systems for robotics, structural diagnostics and archaeological documentation. His engineering background spans full-stack development from hardware systems, through electronic and chip architectures to embedded software development and 3D computer vision. He is passionate about brginging together interdisciplinary teams in the tech field to solve real-world problems with state of the art science and engineering.

Interests

  • Computer Vision
  • Photogrammetry
  • Robotics
  • FPGA & Hardware Acceleration
  • Technology Management
  • Systems Engineering
  • Virtual/Augmented Reality
  • Archaeology

Education

  • M.S. & Ph.D. in Computer Science and Engineering, 2020 (Ongoing)

    UCSD Jaobs School of Engineering

  • Mini-MBA in Technology Management, 2020

    UCSD Rady School of Business Management

  • B.Sc. in Physics, 2017

    U.C. San Diego

Accomplish­ments

Qualcomm Innovation Fellow

UC San Diego- Qualcomm Sep 2020
Awarded Qualcomm Innovation Fellowship for the research of “Temporospatial Fusion of Radar, Vision and LIDAR data for Autonomous Driving.”

Mini-MBA & IGE-Technology Management Certificate

UCSD Rady School of Management Jun 2020
Succesfully completed a business management course series that focuses on bringing research technologies to market. The set of courses, which were taken with the Rady MBA cohort, covered business fundamentals, leadership, management and lab to market.

Shah Fellow

UCSD Institute for the Global Entrepreneur Oct 2019
Awarded a Shah fellowship for the development of commercialization strategies to bring 3D camera systems to the Autuonomous Vehicle market.

National Geographic Young Explorer

National Geographic Sep 2015
Selected as National Geographic Young explorer for ongoing remote sensing technology development for archaeological documentation of ancient Maya sites. (Page 36) https://archive.org/details/NationalGeographicUSAAugust2016/page/n35/mode/2up https://diydrones.com/profiles/blogs/using-apm-plane-to-map-lost-mayan-cities-in-the-yucatan-peninsula

Projects

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All Computer Vision FPGA Archaeology Other

DevCAM Multi-Camera FPGA System

An Open-Source multi-camera, IMU and GPS research platform using FPGAs

Panoramic 3D Vision for Autonomous Vehicles

Developping 360 camera systems and algorithms for self-driving vehicles.

TunnelCAM- Low-Light Panoramic Imaging for Interior Photogrammetry

Camera array design for efficient indoor 3D mapping.

Towards digital 3D excavations in Archaeology

Temporal photogrammetry for digital archaeological excavations

Remote Sensing for Maya Archaeology

Developing remote sensing technology for Maya site identification

Featured Publications

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TunnelCAM-A HDR Spherical Camera Array for Structural Integrity Assessments of Dam Interiors

This work proposes both a mobile inspection platform and an image processing pipeline to reconstruct 3D models of the outflow tunnel and gates of dams for structural defect identification.
Dominique E. Meyer, Eric Lo, Jonathan Klingspon, Falko Kuester
PDF DOI
TunnelCAM-A HDR Spherical Camera Array for Structural Integrity Assessments of Dam Interiors

StarCAM - A 16K stereo panoramic video camera with a novel parallel interleaved arrangement of sensors

We present a novel method of leveraging small form-factor camera units arranged in stereo pairs and interleaved to achieve a fully panoramic view with fully parallel sensor pairs.
Dominique E. Meyer, Haoyu Wang, Daniel Sandin, Chris McFarland, Eric Lo, Gregory Dawe, Ji Dai, Truong Nguyen, Harlyn Baker, Maxim Brown, Tom DeFanti, Falko Kuester
PDF DOI
StarCAM - A 16K stereo panoramic video camera with a novel parallel interleaved arrangement of sensors