Imaging for Forensics and Security: From Theory to Practice,
Springer2009, ISBN: 978-0-387-09531-8
WWW Link. Buy this book: Imaging for Forensics and Security: From Theory to Practice (Signals and Communication Technology)
0909BibRef
Bioimagene,
2007
WWW Link.
Vendor, Digital Pathology.
Imagemetry Ltd.,
2008.
WWW Link.
Vendor, Inspection. Forensics applications.
Chong, A.K.,
A Rigorous Technique for Forensic Measurement of Surveillance Video
Footage,
PhEngRS(68), No. 7, July 2002, pp. 753.
Using a singly-view video frame to make accurate measurements.
WWW Link.
0207
BibRef
Heizmann, M., and
León, F.P.,
Imaging and analysis of forensic striation marks,
OptEng(42), No. 12, December 2003, pp. 3423-3432.
Appearance based matching of patterns on bullets.
BibRef
0312
Heizmann, M.,
Techniques for the Segmentation of Striation Patterns,
IP(15), No. 3, March 2006, pp. 624-631.
IEEE DOI
0604
BibRef
Bouridane, A.[Ahmed],
Imaging for Forensics and Security: From Theory to Practice,
Springer2009, ISBN: 978-0-387-09531-8
WWW Link.
Buy this book: Imaging for Forensics and Security: From Theory to Practice (Signals and Communication Technology)
BibRef
Rocha, A.[Anderson],
Scheirer, W.J.[Walter J.],
Boult, T.E.[Terrance E.],
Goldenstein, S.K.[Siome K.],
Vision of the unseen:
Current trends and challenges in digital image and video forensics,
Surveys(43), No. 4, October 2011, pp. xx-yy.
DOI Link
1110
Survey, Video Forensics. Digital images are everywhere: from our cell phones to the pages of
our online news sites. How we choose to use digital image processing
raises a surprising host of legal and ethical questions that we must
address.
BibRef
Tang, Y.[Yi],
Srihari, S.N.[Sargur N.],
Likelihood ratio estimation in forensic identification using
similarity and rarity,
PR(47), No. 3, 2014, pp. 945-958.
Elsevier DOI
1312
Determining whether or not observed evidence arose from a known source.
BibRef
Navrátil, M.[Milan],
Kresálek, V.[Vojtech],
Koutecky, A.[Adam],
Maláník, Z.[Zdenek],
Microscopy Techniques for Topography Image Acquisition of
Marks on Cartridge Cases,
Sensors(206), No. 11, November 2016, pp. 43-51.
HTML Version.
1705
BibRef
Saikia, S.[Surajit],
Fidalgo, E.,
Alegre, E.[Enrique],
Fernández-Robles, L.[Laura],
Object Detection for Crime Scene Evidence Analysis Using Deep Learning,
CIAP17(II:14-24).
Springer DOI
1711
BibRef
Kalbitz, M.[Michael],
Scheidat, T.[Tobias],
Yüksel, B.[Benjamin],
Vielhauer, C.[Claus],
Towards Automated Forensic Pen Ink Verification by Spectral Analysis,
IWDW17(18-30).
Springer DOI
1708
BibRef
Rota, P.,
Sangineto, E.,
Conotter, V.,
Pramerdorfer, C.,
Bad teacher or unruly student:
Can deep learning say something in Image Forensics analysis?,
ICPR16(2503-2508)
IEEE DOI
1705
Computer architecture, Feature extraction, Image forensics,
Machine learning, Neural networks, Tides, Training
BibRef
Moltisanti, M.[Marco],
Paratore, A.[Antonino],
Battiato, S.[Sebastiano],
Saravo, L.[Luigi],
Image Manipulation on Facebook for Forensics Evidence,
CIAP15(II:506-517).
Springer DOI
1511
BibRef
Weyde, T.[Tillman],
Slabaugh, G.[Gregory],
Fontaine, G.[Gauthier],
Bederna, C.[Christoph],
Predicting Aquaplaning Performance from Tyre Profile Images with
Machine Learning,
ICIAR13(133-142).
Springer DOI
1307
BibRef
Gamage, R.E.,
Joshi, A.,
Zheng, J.Y.[Jiang Yu],
Tuceryan, M.,
A high resolution 3D tire and footprint impression acquisition for
forensics applications,
WACV13(317-322).
IEEE DOI
1303
BibRef
Arguedas, V.F.[Virginia Fernandez],
Zhang, Q.[Qianni],
Izquierdo, E.[Ebroul],
Bayesian Multimodal Fusion in Forensic Applications,
Concept12(III: 466-475).
Springer DOI
1210
BibRef
Saboia, P.[Priscila],
Carvalho, T.[Tiago],
Rocha, A.[Anderson],
Eye specular highlights telltales for digital forensics:
A machine learning approach,
ICIP11(1937-1940).
IEEE DOI
1201
BibRef
Yan, C.[Cheng],
Cybercrime forensic system in cloud computing,
IASP11(612-615).
IEEE DOI
1112
BibRef
Pollard, S.B.[Stephen B.],
Adams, G.B.[Guy B.],
Simske, S.J.[Steven J.],
Resolving distortion between linear and area sensors for forensic print
inspection,
ICIP10(1001-1004).
IEEE DOI
1009
BibRef
Shah, S.[Shishir],
Gabriel, E.[Edgar],
Image computing for digital pathology,
ICPR08(1-1).
IEEE DOI
0812
Survey, Pathology.
BibRef
Topol, A.[Anna],
Jenkin, M.R.M.[Michael R.M.],
Gryz, J.[Jarek],
Wilson, S.[Stephanie],
Kwietniewski, M.[Marcin],
Jasiobedzki, P.[Piotr],
Ng, H.K.[Ho-Kong],
Bondy, M.[Michel],
Generating Semantic Information from 3D Scans of Crime Scenes,
CRV08(333-340).
IEEE DOI
0805
BibRef
Wright, J.[John],
Wagner, A.[Andrew],
Rao, S.[Shankar],
Ma, Y.[Yi],
Homography from Coplanar Ellipses with Application to Forensic Blood
Splatter Reconstruction,
CVPR06(I: 1250-1257).
IEEE DOI
0606
BibRef
Martone, A.F.,
Mikkilineni, A.K.,
Delp, E.J.,
Forensics of Things,
Southwest06(149-152).
IEEE DOI
0603
BibRef
Rudin, L.,
Monasse, P.,
Yu, P.[Ping],
Epipolar Photogrammetry:
A novel method for forensic image comparison and measurement,
ICIP05(III: 385-388).
IEEE DOI
0512
BibRef
Oliver, W.R.[William R.],
An Objective Measure Of Forensic Pathology Image Quality:
The Adaptation of the National Imagery Interpretability Rating Scale
to Forensic Pathology Images,
ICIP99(27PS1). Not in proceedings.
BibRef
9900
Little, C.[Charles],
Small, D.[Dan],
Carlson, J.[Jeff],
3D Imaging and Modeling for Crime Scene Documentation,
ICIP99(27PS1). Not in proceedings.
BibRef
9900
Hackwood, S.[Susan],
Signal and Image processing for Crime Control and Crime Prevention,
ICIP99(III:513-517).
IEEE DOI
BibRef
9900