19.7.2 Forensic Analysis, Pathology

Chapter Contents (Back)
Application, Pathology. Forensic Analysis.

Bioimagene,
2007
WWW Version. Vendor, Digital Pathology.

Imagemetry Ltd.,
2008.
WWW Version. Vendor, Inspection. Forensics applications.

Facey, O.E., Hannah, I.D., Rosen, D.,
Analysis of low-pass filtered shoeprints and pedobarograph images,
PR(25), No. 6, June 1992, pp. 647-654.
WWW Version. 0401
BibRef

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 Version. 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 Link 0604
BibRef

de Chazal, P., Flynn, J., Reilly, R.B.,
Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science,
PAMI(27), No. 3, March 2005, pp. 341-350.
IEEE Abstract. 0501
BibRef

Huynh, C., de Chazal, P., McErlean, D., Reilly, R.B., Hannigan, T.J., Fleury, L.M.,
Automatic classification of shoeprints for use in forensic science based on the Fourier transform,
ICIP03(III: 569-572).
IEEE Abstract. 0312
BibRef

Su, H.J.[Hong-Jiang], Crookes, D.[Danny], Bouridane, A.[Ahmed],
Thresholding of noisy shoeprint images based on pixel context,
PRL(28), No. 2, 15 January 2007, pp. 301-307.
WWW Version. 0611
Thresholding; Pixel context; Reference pixels; Shoeprint image BibRef

Gueham, M.[Mourad], Bouridane, A.[Ahmed], Crookes, D.[Danny],
Automatic classification of partial shoeprints using Advanced Correlation Filters for use in forensic science,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And:
Automatic Recognition of Partial Shoeprints Using a Correlation Filter Classifier,
IMVIP08(37-42).
IEEE DOI Link 0809
BibRef
Earlier:
Automatic Recognition of Partial Shoeprints Based on Phase-Only Correlation,
ICIP07(IV: 441-444).
IEEE DOI Link 0709
BibRef

Su, H.J.[Hong-Jiang], Crookes, D.[Danny], Bouridane, A.[Ahmed], Gueham, M.,
Local Image Features for Shoeprint Image Retrieval,
BMVC07(xx-yy).
PDF Version. 0709
BibRef

Su, H.J.[Hong-Jiang], Crookes, D.[Danny], Bouridane, A.[Ahmed],
Shoeprint Image Retrieval by Topological and Pattern Spectra,
IMVIP07(15-22).
IEEE DOI Link 0709
BibRef

Bouridane, A.[Ahmed],
Imaging for Forensics and Security: From Theory to Practice,
Springer2009, ISBN: 978-0-387-09531-8
WWW Version. Click to purchase this book 0909
BibRef

Patil, P.M.[Pradeep M.], Kulkarni, J.V.[Jayant V.],
Rotation and intensity invariant shoeprint matching using Gabor transform with application to forensic science,
PR(42), No. 7, July 2009, pp. 1308-1317.
Elsevier DOI Link
WWW Version. 0903
Forensic science; Shoeprint; Gabor feature map; Fourier transform; Power spectral density BibRef

Rocha, A.[Anderson], Scheirer, W.[Walter], Boult, T.[Terrance], Goldenstein, S.[Siome],
Vision of the unseen: Current trends and challenges in digital image and video forensics,
Surveys(43), No. 4, October 2011, pp. xx-yy.
WWW Version. 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


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 Link 1201
BibRef

Yan, C.[Cheng],
Cybercrime forensic system in cloud computing,
IASP11(612-615).
IEEE DOI Link 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 Link 1009
BibRef

Dardi, F.[Francesca], Cervelli, F.[Federico], Carrato, S.[Sergio],
A Texture Based Shoe Retrieval System for Shoe Marks of Real Crime Scenes,
CIAP09(384-393).
Springer DOI Link 0909
BibRef
And: A2, A1, A3:
A texture recognition system of real shoe marks taken from crime scenes,
ICIP09(2905-2908).
IEEE DOI Link 0911
BibRef

Shah, S.[Shishir], Gabriel, E.[Edgar],
Image computing for digital pathology,
ICPR08(1-1).
IEEE DOI Link 0812
Survey, Pathology. BibRef

Ramakrishnan, V.[Veshnu], Srihari, S.[Sargur],
Extraction of shoe-print patterns from impression evidence using Conditional Random Fields,
ICPR08(1-4).
IEEE DOI Link 0812
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 Link 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 Link 0606
BibRef

Martone, A.F., Mikkilineni, A.K., Delp, E.J.,
Forensics of Things,
Southwest06(149-152).
IEEE DOI Link 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 Link 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 Abstract. BibRef 9900


Last update:May 16, 2012 at 20:31:07