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)
0909
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
Barnaby, C.,
Green, R.,
Blood Stain Segmentation,
IVCNZ18(1-9)
IEEE DOI
1902
Blood, Histograms, Image segmentation, Shape, Image edge detection,
Forensics, Image color analysis
BibRef
Sun, S.[Shuo],
Application of fuzzy image restoration in criminal investigation,
JVCIR(71), 2020, pp. 102704.
Elsevier DOI
2009
Fuzzy image restoration, Image degradation, Criminal investigation
BibRef
Mousavi, S.,
Nabati, R.,
Kleeschulte, M.,
Steadman, D.,
Mockus, A.,
Machine-Assisted Annotation of Forensic Imagery,
ICIP19(1595-1599)
IEEE DOI
1910
Semantic segmentation, Proposed annotations, Forensic Imagery
BibRef
Qu, C.,
Metzler, J.,
Monari, E.,
ivisX: An Integrated Video Investigation Suite for Forensic
Applications,
Cross-Bio18(9-17)
IEEE DOI
1806
cameras, face recognition, image resolution, solid modelling,
3D face super-resolution approach,
Tools
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
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
Capel, D.,
Zisserman, A.,
Bramble, S., and
Compton, D.,
An Automatic Method for the Removal of Unwanted,
Non-periodic Patterns from Forensic Images,
SPIE(3576), 1-6 November, 1998. pp. xx-yy.
PS File.
BibRef
9811