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Sowon Joy Yoon, Peter Bajcsy, Maritoni A. Litorja, James J. Filliben
Light field cameras are an emerging imaging device for acquiring 3-D information of a scene by capturing a field of light rays traveling in space. As light field cameras become portable, hand- held, and affordable, their potential as a 3-D measurement
Omid Sadjadi, Timothee N. Kheyrkhah, Craig Greenberg, Douglas A. Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
The 2017 NIST language recognition evaluation (LRE) was held in the autumn of 2017. Similar to the past LRE's, the basic task in LRE17 was language detection, with an emphasis on discriminating closely related languages (14 in total) selected from 5
Sowon Joy Yoon, Peter Bajcsy, Maritoni A. Litorja, James J. Filliben
In crime scene investigations, 3D forensic evidence such as tire tread and shoe imprints in substances like mud or snow can often provide useful information to identify suspects and victims. This work focuses on evaluating lateral and depth resolutions of
John M. Libert, John D. Grantham, Bruce Bandini, Stephen S. Wood, Michael D. Garris, Kenneth Ko, Frederick R. Byers, Craig I. Watson
This document details efforts undertaken by the National Institute of Standards and Technology (NIST) to develop measurements and a protocol for the evaluation of contactless (touchless) fingerprint acquisition devices. Contactless fingerprint capture
Seyed Omid Sadjadi, Timothee N. Kheyrkhah, Audrey N. Tong, Craig S. Greenberg, Douglas Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
In 2017, NIST conducted the most recent in an ongoing series of Language Recognition Evaluations (LRE) meant to foster research in robust text- and speaker-independent language recognition, as well as measure performance of current state-of-the-art systems
Michael P. Majurski, Petru S. Manescu, Joe Chalfoun, Peter Bajcsy, Mary C. Brady
Sampling and augmentation methods have been widely used to generate sufficiently large numbers of representative training images for supervised segmentation methods, such as convolutional neural networks (CNN). There is a need to understand the impact of
Thomas Gerrits, Daniel Lum, Varun B. Verma, John Howell, Richard P. Mirin, Sae Woo Nam
We present a short-wave infrared (SWIR) single photon camera based on a single superconducting nanowire single photon detector (SNSPD) and compressive imaging. We show SWIR single photon imaging at a megapixel resolution with a low signal-to-background
Joseph W. Fowler, Christine G. Pappas, Bradley K. Alpert, William B. Doriese, Galen C. O'Neil, Joel N. Ullom, Daniel S. Swetz
We consider how to analyze microcalorimeter pulses for quantities that are nonlinear in the data, while preserving the signal-to-noise advantages of linear optimal filtering. We apply the approach to compute the electrothermal feedback energy deficit (the
This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure
Nathan D. Orloff, Jasper A. Drisko, Angela C. Stelson, Charles A. Little, James C. Booth, Jordi Mateu, Christian J. Long
Distributed circuit parameters parameterize the transmission and reflection off a given transmission line in terms of a distributed resistance, inductance, capacitance, and conductance, which are per unit length frequency dependent quantities. While there
Elham Tabassi, Anil K. Jain, Tarang Chugh, Kai Cao, Jiayu Zhou
Latent fingerprints are one of the most crucial sources of evidence in forensic investigations. As such, devel- opment of automatic latent fingerprint recognition systems to quickly and accurately identify the suspects is one of the most pressing problems
Johannes A. Soons, Robert M. Thompson, Jun-Feng Song
To address concerns of subjectivity in firearm evidence examination, algorithms are being developed to compare firearm tool marks imparted on ammunition and generate a quantitative measure of similarity. The goal of this paper is to demonstrate a new
Ronay Ak, Max Ferguson, Yung-Tsun T. Lee, Kincho H. Law
Automatic localization of defects in metal castings is a challenging task, owing to the rare occurrence and variation in appearance of defects. Convolutional neural networks (CNN) have recently shown outstanding performance in both image classification and
Peter Bajcsy, Sowon Joy Yoon, Stephen Florczyk, Nathan Hotaling, Mylene H. Simon, Piotr Szczypinski, Nicholas J. Schaub, Carl G. Simon Jr., Mary C. Brady, Ram D. Sriram
Background: Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and spun coat, large microfiber, and medium microfiber scaffolds. Our
We study the problem of recovering an unknown vector x in R^n from measurements of the form y_i = |a_i^T x|^2 (for i=1,...,m), where the vectors a_i in R^n are chosen independently at random, with each coordinate a_{ij} being chosen independently from a
Yohan Yoon, Jungseok Chae, Aaron M. Katzenmeyer, Heayoung Yoon, Joshua D. Schumacher, Sang M. An, Andrea Centrone, Nikolai B. Zhitenev
Polycrystalline thin film technology has shown great promise for low cost, high efficiency photovoltaics. To further increase the power efficiency, a firm understanding of microstructural properties of the devices is required. In this work, we investigate
Seyed Omid Sadjadi, Timothee N. Kheyrkhah, Audrey N. Tong, Craig S. Greenberg, Douglas A. Reynolds, Elliot Singer, Lisa Mason, Jaime Hernandez-Cordero
In 2016, NIST conducted the most recent in an ongoing series of speaker recognition evaluations (SRE) to foster research in robust text-independent speaker recognition, as well as measure performance of the current state-of-the-art systems, targeting in
Francisco de la Pena, Tomas Ostasevicius, Vidar T. Fauske, Pierre Burdet, Petras Jokubauskas, Magnus Nord, Mike Sarahan, Eric Prestat, Joshua Taillon, Jan Caron, Tom Furnival, Katharine E. MacArthur, Alberto Eljarrat, Stefano Mazzucco, Vadim Migunov, Thomas Aarholt, Michael Walls, Florian Winkler, Gael Donval, Ben Martineau, Andreas Garmannslund, Luiz-Fernando Zagonel, Ilya Iyengar
Timothy J. Blattner, Walid Keyrouz, Mary C. Brady, Shuvra S. Bhattacharyya, Milton Halem
Designing applications for scalability is key to improving their performance in hybrid and cluster computing. Scheduling code to utilize parallelism is difficult, particularly when dealing with data dependencies, memory management, data motion, and
Wesley N. Griffin, Henan Zhao, Garnett W. Bryant, Judith E. Terrill, Jian Chen
We designed and evaluated SplitVectors, a new vector field display approach to help scientists perform new discrimination tasks on scientific data shown in three-dimensional (3D) visualization environments. SplitVectors uses scientific notation to display