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Matthew Turk

Researcher at Toyota Technological Institute at Chicago

Publications -  209
Citations -  33736

Matthew Turk is an academic researcher from Toyota Technological Institute at Chicago. The author has contributed to research in topics: Augmented reality & Facial recognition system. The author has an hindex of 55, co-authored 198 publications receiving 30972 citations. Previous affiliations of Matthew Turk include Massachusetts Institute of Technology & University of California.

Papers
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Proceedings ArticleDOI

Optimizing the Viewing Graph for Structure-from-Motion

TL;DR: This paper presents a novel optimization that improves the quality of the relative geometries in the viewing graph by enforcing loop consistency constraints with the epipolar point transfer and removes the need for filtering steps or robust algorithms typically used in global SfM methods.

First Sagittarius A* Event Horizon Telescope Results. V. Testing Astrophysical Models of the Galactic Center Black Hole

Event Horizon Telescope Collaboration, +274 more
TL;DR: In this paper , the authors compare resolved EHT data at 230 GHz and unresolved non-EHT observations from radio to X-ray wavelengths to predictions from a library of models based on time-dependent general relativistic magnetohydrodynamics simulations, including aligned, tilted, and stellar-wind-fed simulations.
Journal Article

A Random Walk through Eigenspace

TL;DR: It has been over a decade since the Eigenfaces approach to automatic face recognition, and other appearancebased methods, made an impression on the computer vision research community and helped spur interest in vision systems being used to support biometrics and human-computer interface.
Proceedings ArticleDOI

A simple, real-time range camera

TL;DR: Experience shows that this ranging technique can be both economical and practical for tasks which require quick and reliable but coarse estimates of range, including initial target acquisition or obtaining the initial coarse estimate of stereo disparity in a coarse-to-fine stereo algorithm.
Proceedings ArticleDOI

In touch with the remote world: remote collaboration with augmented reality drawings and virtual navigation

TL;DR: This paper presents a touchscreen interface for creating freehand drawings as world-stabilized annotations and for virtually navigating a scene reconstructed live in 3D, all in the context of live remote collaboration.