M
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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Book ChapterDOI
Efficient depth edge detection using structured light
TL;DR: Experimental results show that the proposed method accurately detects depth edges of human hand and body shapes as well as general objects.
Journal ArticleDOI
Parameterised structured light imaging for depth edge detection
TL;DR: In this paper, a parameterized structured light imaging that is practically useful for detecting depth edges is presented. But the method is limited to the detection of silhouette edges for visual hull reconstruction.
Proceedings ArticleDOI
ANSAC: Adaptive Non-minimal Sample and Consensus
TL;DR: ANSAC as discussed by the authors is a RANSAC-based estimator that accounts for noise by adaptively using more than the minimal number of correspondences required to generate a hypothesis.
Proceedings ArticleDOI
Recognizing Families In the Wild: White Paper for the 4th Edition Data Challenge.
Joseph P. Robinson,Yu Yin,Zaid Khan,Ming Shao,Siyu Xia,Michael Stopa,Samson Timoner,Matthew Turk,Rama Chellappa,Yun Fu +9 more
TL;DR: The purpose of this paper is to describe the 2020 RFIW challenge, end-to-end, along with forecasts in promising future directions.
ARPA Unmanned Ground Vehicle Stereo Vision Program
TL;DR: Several new stereo techniques were developed under this research program including: a way to automatically set stereo matcher operating parameters, an analysis of stereo disparity gradients, and a method for improving area correlator performance in the presence of disparityGradients.