Zobrazeno 1 - 8
of 8
pro vyhledávání: '"W. Nicholas Greene"'
Publikováno v:
ICRA
Although deep neural networks have achieved state-of-the-art performance for stereo depth estimation, they can suffer from a significant drop in accuracy when tested on images from novel domains. Recent work has shown that self-supervised online adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1c5ad01c1dab9c531cedbe56e41d996
https://doi.org/10.1109/icra48506.2021.9562012
https://doi.org/10.1109/icra48506.2021.9562012
Autor:
Nicholas Roy, W. Nicholas Greene
Publikováno v:
ICRA
We propose a novel learning-based method for multi-view stereo (MVS) depth estimation capable of recovering depth from images taken from known, but unconstrained, views. Existing MVS methods extract features from each image independently before proje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfe477da77da6e20168e54d96754b033
https://doi.org/10.1109/icra48506.2021.9562096
https://doi.org/10.1109/icra48506.2021.9562096
Autor:
Nicholas Roy, W. Nicholas Greene
Publikováno v:
MIT web domain
ICRA
ICRA
© 2020 IEEE. We propose an efficient method for monocular simultaneous localization and mapping (SLAM) that is capable of estimating metrically-scaled motion without additional sensors or hardware acceleration by integrating metric depth predictions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62b647f0ad9d892a97e66696b1ccf348
https://hdl.handle.net/1721.1/137312
https://hdl.handle.net/1721.1/137312
Autor:
W. Nicholas Greene, Nicholas Roy
Publikováno v:
ICCV
We propose a lightweight method for dense online monocular depth estimation capable of reconstructing 3D meshes on computationally constrained platforms. Our main contribution is to pose the reconstruction problem as a non-local variational optimizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6122636c39925ec9eab7d999bcd83c17
https://doi.org/10.1109/iccv.2017.502
https://doi.org/10.1109/iccv.2017.502
Publikováno v:
ICRA
MIT web domain
MIT web domain
We present a method for Simultaneous Localization and Mapping (SLAM) using a monocular camera that is capable of reconstructing dense 3D geometry online without the aid of a graphics processing unit (GPU). Our key contribution is a multi-resolution d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdd3f411136f0e76eec7d51febfa645e
https://doi.org/10.1109/icra.2016.7487213
https://doi.org/10.1109/icra.2016.7487213
Publikováno v:
MIT web domain
ICRA
ICRA
We propose a method of real-time monocular camera-based localization in known environments. With the goal of controlling high-speed micro air vehicles (MAVs), we localize with respect to a mesh map of the environment that can support both pose estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db526a71f1452ce7837a280da68c0b63
https://orcid.org/0000-0002-9541-7129
https://orcid.org/0000-0002-9541-7129
Autor:
James R. Williamson, Laurel Keyes, Thomas M. Talavage, Trina Vian, Jeff Palmer, Joseph Lacirignola, W. Nicholas Greene, Brian S. Helfer, Benjamin Evans, Trey E. Shenk, Thomas F. Quatieri, Kristin J. Heaton
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65d364d46db67bc506c9a9359259ec0c
https://doi.org/10.21437/interspeech.2014-121
https://doi.org/10.21437/interspeech.2014-121
Publikováno v:
SPIE Proceedings.
Several feature extraction and selection methods for an existing automatic target recognition (ATR) system using JPLs Grayscale Optical Correlator (GOC) and Optimal Trade-Off Maximum Average Correlation Height (OT-MACH) filter were tested using MATLA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e76a37925911d0e84f387e10f21cb3fa
https://doi.org/10.1117/12.848007
https://doi.org/10.1117/12.848007