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Mathematics & Statistics

Image & signal processing

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Displaying 251 - 275 of 316

An Integrated Interactive Visualization and Analysis Environment to study the Impact of Fire on Building Structures

July 25, 2010
Author(s)
Dilip K. Banerjee, John L. Gross, Pradeep R. Gaddam, Thomas M. Olano, William J. Hess, Judith E. Terrill, Terence J. Griffin, John G. Hagedorn, John T. Kelso, Steven G. Satterfield
We have created an integrated interactive visualization and analysis environment, that can be used immersively or on the desktop, to study the interaction among fire, heat transfer, and structural deformation computed from three linked simulations. In this

Investigating the Bag-of-Words Method for 3D Shape Retrieval

June 30, 2010
Author(s)
Afzal A. Godil, Xiaolan Li
This paper investigates the capabilities of the Bag-of-Words (BW) method in the 3D shape retrieval field. The contributions of this paper are: 1) the 3D shape retrieval task is categorized from different points of view: specific vs. generic, partial-to

Precision and Accuracy in Scientific Imaging

May 18, 2010
Author(s)
Russell A. Kirsch
Digital images are commonly used to represent scientific data. Typically, high resolution images with many square pixels are considered to be necessary under the assumption that the increased precision of such images yields increased accuracy to the viewer

3D shape retrieval based on Multi-scale Integral Orientations

May 2, 2010
Author(s)
Afzal A. Godil, Stephane Bres, Asim Wagan
In this paper we describe a novel 3D shape retrieval method based on Multi-scale Integral Orientations. In our approach, a 3D model after normalization is represented by a set of depth images captured uniformly on a unit circle. Then the shape descriptor

SHREC 10 Track: Generic 3D Warehouse

May 2, 2010
Author(s)
Vanamali ThiruvadandamPorethi, Afzal A. Godil, Helin Dutagaci, Zhouhui Lian, Ryutarou Ohbuchi, Takahiko Furuya
In this paper we present the results of the Shape Retrieval Contest 10 (SHREC 10) of Generic 3D Warehouse. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on a large Generic benchmark based on the Google 3D

SHREC'10 Track - Range Scan Retrieval

May 2, 2010
Author(s)
Helin Dutagaci, Afzal A. Godil, Chun Pan (Benny) Cheung
The SHREC 10 Shape Retrieval Contest of Range Scans aims at comparing algorithms that match a range scan to complete 3D models in a target database. The queries are range scans of real objects, and the objective is to retrieve complete 3D models that are

AN AUTOMATIC OVERLAP-BASED CELL TRACKING SYSTEM

February 26, 2010
Author(s)
Joe Chalfoun, Antonio Cardone, Alden A. Dima, Michael Halter, Daniel P. Allen
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an overlap-based cell tracking algorithm that has the ability to track cells across a set of time-lapse

Overlap-Based Cell Tracker

February 2, 2010
Author(s)
Joe Chalfoun, Antonio Cardone, Alden A. Dima, Michael Halter, Daniel P. Allen
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an introduction to the general principle of an overlap cell tracking software developed by NIST. This

A 1D Spectral Image Validation/Verification Metric for Fingerprints

August 19, 2009
Author(s)
John M. Libert, John D. Grantham, Shahram Orandi
Image validation and verification are important functions in the acquisition of fingerprint images from live-scan devices and for assessing and maintaining the fidelity of fingerprint image databases. In addition to law enforcement, such databases are used

Visualization of Structural Behavior under Fire

August 12, 2009
Author(s)
Dilip K. Banerjee, William J. Hess, Thomas M. Olano, Judith E. Terrill, John L. Gross
An integrated environment was created to study the interaction among fire, heat transfer, and structural deformation from a typical room fire. The fire, thermal, and structural data were linked with a separate 3-D visualization capability, to provide the

Facial Shape Analysis and Sizing System

July 24, 2009
Author(s)
Afzal A. Godil
The understanding of shape and size of the human head and faces is vital for design of facial wear products, such as respirators, helmets, eyeglasses and for ergonomic studies. 3D scanning is used to create 3D databases of thousands of humans from

Improved Isotopic Analysis With a Large Array of Gamma-Ray Microcalorimeters

June 30, 2009
Author(s)
Nikhil Jethava, Joel N. Ullom, Douglas A. Bennett, William B. Doriese, James A. Beall, Gene C. Hilton, Robert D. Horansky, Kent D. Irwin, Eric Sassi, Leila R. Vale, Minesh K. Bacrania, Andrew Hoover, P. J. Karpius, Michael W. Rabin, Clifford R. Rudy, Duc T. Vo
We present results from the largest array of gamma-ray microcalorimeters operated to date. The microcalorimeters consist of Mo/Cu transition-edge sensors with attached Sn absorbers. The detector array contains 66 pixels each with an active area 2.25 mm 2

SHREC 09 Track: Structural Shape Retrieval on Watertight Models

March 29, 2009
Author(s)
Afzal A. Godil, Helin Dutagaci, Xiaolan Li, Petros Daras, Ryutarou Ohbuchi, Takahiko Furuya, Masaki Tezuka, Thibault Napoleon
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the structural shape retrieval track focuses on the retrieval of 3d models which

SHREC 2009 - Shape Retrieval Contest of Partial 3D Models

March 29, 2009
Author(s)
Helin Dutagaci, Afzal A. Godil, A. Axenopoulos, P. Daras, T. Furuya, R. Ohbuchi
The objective of the SHREC 09 Shape Retrieval Contest of Partial Models is to compare the performances of algorithms that accept a range image as the query and retrieve relevant 3D models from a database. The use of a range scan as the query addresses a

SHREC'09 Track: Generic Shape Retrieval

March 29, 2009
Author(s)
Afzal A. Godil, Helin Dutagaci
In this paper we present the results of the SHREC 09- Generic Shape Retrieval Contest. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on the NIST generic shape benchmark. We hope that the NIST shape

Style Guide for Voting System Documentation

August 25, 2008
Author(s)
Dana E. Chisnell, Susan C. Becker, Sharon J. Laskowski, Svetlana Z. Lowry
The goal of this style guide is to provide specific guidance to improve the usability of documentation used by poll workers and election support staff. The Voting System Documentation Style Guide incorporates best practices for writing documentation as it
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