Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Mclaughlin, Steve"'
Autor:
Ruget, Alice, Wilson, Lewis, Leach, Jonathan, Tobin, Rachael, Mccarthy, Aongus, Buller, Gerald S., Mclaughlin, Steve, Halimi, Abderrahim
Single-photon avalanche diodes (SPADs) are advanced sensors capable of detecting individual photons and recording their arrival times with picosecond resolution using time-correlated Single-Photon Counting detection techniques. They are used in vario
Externí odkaz:
http://arxiv.org/abs/2412.09427
Autor:
Ruget, Alice, Tyler, Max, Martín, Germán Mora, Scholes, Stirling, Zhu, Feng, Gyongy, Istvan, Hearn, Brent, McLaughlin, Steve, Halimi, Abderrahim, Leach, Jonathan
The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance. Three-dimensional pose estimation traditionally requires advanced equipment, such as multiple linke
Externí odkaz:
http://arxiv.org/abs/2110.11414
Autor:
SULLIVAN, DAVID M., McLaughlin, Steve
Publikováno v:
Warship International, 2021 Dec 01. 58(4), 289-289.
Externí odkaz:
https://www.jstor.org/stable/27200895
Autor:
Chan, Susan, Halimi, Abderrahim, Zhu, Feng, Gyongy, Istvan, Henderson, Robert K., Bowman, Richard, McLaughlin, Steve, Buller, Gerald S., Leach, Jonathan
The ability to measure and record high-resolution depth images at long stand-off distances is important for a wide range of applications, including connected and automotive vehicles, defense and security, and agriculture and mining. In LIDAR (light d
Externí odkaz:
http://arxiv.org/abs/1812.04943
Autor:
Tachella, Julián, Altmann, Yoann, Ren, Ximing, McCarthy, Aongus, Buller, Gerald S., Tourneret, Jean-Yves, McLaughlin, Steve
Publikováno v:
SIAM Journal on Imaging Sciences 2019 12:1, 521-550
Light detection and ranging (Lidar) data can be used to capture the depth and intensity profile of a 3D scene. This modality relies on constructing, for each pixel, a histogram of time delays between emitted light pulses and detected photon arrivals.
Externí odkaz:
http://arxiv.org/abs/1810.11633
Autor:
Altmann, Yoann, Maccarone, Aurora, McCarthy, Aongus, Newstadt, Gregory, Buller, Gerald S., McLaughlin, Steve, Hero, Alfred
This paper presents a new Bayesian spectral unmixing algorithm to analyse remote scenes sensed via sparse multispectral Lidar measurements. To a first approximation, in the presence of a target, each Lidar waveform consists of a main peak, whose posi
Externí odkaz:
http://arxiv.org/abs/1610.04107
This paper discusses new methods for processing images in the photon-limited regime where the number of photons per pixel is binary. We present a new Bayesian denoising method for binary, single-photon images. Each pixel measurement is assumed to fol
Externí odkaz:
http://arxiv.org/abs/1609.04862
Autor:
Halimi, Abderrahim, Maccarone, Aurora, McCarthy, Aongus, McLaughlin, Steve, Buller, Gerald S.
This paper presents two new algorithms for the joint restoration of depth and reflectivity (DR) images constructed from time-correlated single-photon counting (TCSPC) measurements. Two extreme cases are considered: (i) a reduced acquisition time that
Externí odkaz:
http://arxiv.org/abs/1608.06143
Autor:
Halimi, Abderrahim, Bioucas-Dias, Jose, Dobigeon, Nicolas, Buller, Gerald S., McLaughlin, Steve
This paper presents two novel hyperspectral mixture models and associated unmixing algorithms. The two models assume a linear mixing model corrupted by an additive term whose expression can be adapted to account for multiple scattering nonlinearities
Externí odkaz:
http://arxiv.org/abs/1607.05336
This paper presents a novel Bayesian strategy for the estimation of smooth signals corrupted by Gaussian noise. The method assumes a smooth evolution of a succession of continuous signals that can have a numerical or an analytical expression with res
Externí odkaz:
http://arxiv.org/abs/1602.03649