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Search Publications by: Jun-Feng Song (Fed)

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Displaying 1 - 25 of 146

Pilot Study on Deformed Bullet Correlation

January 1, 2020
Author(s)
Zhe Chen, Jun-Feng Song, Johannes A. Soons, Robert M. Thompson, Xuezeng Zhao
Most studies on bullet identification address test fire bullet that have near pristine striation marks on the land engraved areas (LEAs). However, in case work, bullets found at a crime scene may be severely deformed or fragmented. The resulting missing

Emerging Technology in Comparisons

March 1, 2019
Author(s)
Theodore V. Vorburger, Jun-Feng Song, Nicholas D. Petraco, Ryan Lilien
This chapter is designed to introduce the reader to emerging technologies relating to 3D surface topography measurement and comparative analysis. While the chapter includes several technical terms and a few equations, effort has been made to omit content

Estimating Error Rates for Firearm Evidence Identifications in Forensic Science

March 1, 2018
Author(s)
Jun-Feng Song, Theodore V. Vorburger, Wei Chu, James H. Yen, Johannes A. Soons, D Ott, Nien F. Zhang
Estimating error rates for firearm evidence identification is a fundamental challenge in forensic science. This paper describes the recently developed Congruent Matching Cells (CMC) method for image comparisons, its application to firearm identification

Establishing a World-Wide Unified Rockwell Hardness Scale Using Standard Diamond Indenters

February 19, 2017
Author(s)
S Desogus, A Germak, H Ishida, T Polzin, H Yang, Jun-Feng Song, Samuel Low, David J. Pitchure
Recently developed microform measurement techniques have reduced the measurement uncertainties in the geometry of Rockwell diamond indenters. It is now possible to establish standard grade Rockwell diamond indenters characterized by high geometry

Topography measurements and applications in ballistics and tool mark identifications

December 17, 2015
Author(s)
Theodore V. Vorburger, Jun-Feng Song, Nicholas D. Petraco
The application of surface topography measurement methods to the field of firearm and toolmark analysis is fairly new. The field has been boosted by the development of a number of competing optical methods which has improved the speed and accuracy of

Applications of the Spline Filter for Areal Filtration

November 4, 2015
Author(s)
D Ott, Hao H. Zhang, Daniel B. Ott, Wei Chu, Jun-Feng Song
This paper proposes a general use areal isotropic spline filter. This new areal spline filter can achieve isotropy by approximating the transmission characteristic of the Gaussian filter. It can also eliminate the effect of void areas using a weighting

Analysis of the Boundary Conditions of the Spline Filter

July 21, 2015
Author(s)
D Ott, Hao H. Zhang, Daniel B. Ott, Xuezeng Zhao, Jun-Feng Song
The spline filter is a standard linear profile filter recommended by ISO/TS 16610-22 (2006). The primary advantage of the spline filter is that no end-effects occur as a result of the filter. The ISO standard also provides the tension parameter β=0.62524

A simple and fast spline filtering algorithm for surface metrology

July 14, 2015
Author(s)
Hao H. Zhang, Daniel B. Ott, Jun-Feng Song, D Ott, Wei Chu
The spline filters and the corresponding robust filters are commonly used filters recommended in ISO standards for surface evaluation. Generally, these linear and non-linear spline filters, composed of symmetric, positive-definite matrices, are always

The Second National Ballistics Imaging Comparison (NBIC-2)

January 5, 2015
Author(s)
Theodore V. Vorburger, James H. Yen, Jun-Feng Song, Robert M. Thompson, Thomas Brian Renegar, Xiaoyu Alan Zheng, D Ott, Martin G. Ols
In response to the guidelines issued by the American Society of Crime Laboratory Directors/Laboratory Accreditation Board (ASCLD/LAB-International) to establish traceability and quality assurance in U.S. crime laboratories, NIST and the ATF initiated a

Applications of Surface Metrology in Firearm Identification

January 8, 2014
Author(s)
Xiaoyu Alan Zheng, Johannes A. Soons, Theodore V. Vorburger, Jun-Feng Song, Thomas Brian Renegar, Robert M. Thompson
Surface metrology is commonly used to characterize functional engineering surfaces. The technologies developed offer opportunities to improve forensic toolmark identification. Toolmarks are created when a tool comes into contact with a surface and causes