Computerized image processing in the Reginald Denny beating trial

被引:1
|
作者
Morrison, LC
机构
来源
INVESTIGATIVE IMAGE PROCESSING | 1997年 / 2942卷
关键词
image processing; computer; segmentation; court; admissibility; evidence; expert testimony;
D O I
10.1117/12.267179
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
New image processing techniques may have significant benefits to law enforcement officials but need to be legally admissible in court. Courts have different tests for the determining the admissibility of new scientific procedures, requiring their reliability to be established by expert testimony. The first test developed was whether there has been general acceptance of the new procedure within the scientific community. In 1993 the U.S. Supreme Court loosened the requirements for admissibility of new scientific techniques, although the California Supreme Court later retained the general acceptance test, What the proper standard is for admission of such evidence is important to both the technical community and to the legal community because of the conflict between benefits of rapidly developing technology, and the dangers of ''junk science.'' The Reginald Denny beating case from the 1992 Los Angeles riots proved the value of computerized image processing in identifying persons committing crimes on videotape. The segmentation process was used to establish the presence of a tattoo on one defendant, which was key in his identification. Following the defendant's conviction, the California Court of Appeal approved the use of the evidence involving the segmentation process. This published opinion may be cited as legal precedent.
引用
收藏
页码:39 / 50
页数:12
相关论文
共 50 条
  • [21] A Novel Interactive Image Processing Approach for DICOM Medical Image Data
    Hu, Zhanli
    Zheng, Hairong
    Gui, Jianbao
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4, 2009, : 54 - 57
  • [22] Algorithms for digital image processing in diabetic retinopathy
    Winder, R. J.
    Morrow, P. J.
    McRitchie, I. N.
    Bailie, J. R.
    Hart, P. M.
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2009, 33 (08) : 608 - 622
  • [23] RAINDROPS SIZE FROM VIDEO AND IMAGE PROCESSING
    Desvignes, Michel
    Molinie, Gilles
    2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012), 2012, : 1341 - 1344
  • [24] On some applications of diffusion processes for image processing
    Morfu, S.
    PHYSICS LETTERS A, 2009, 373 (29) : 2438 - 2444
  • [25] Evolutional Approach to Image Processing on the Example of Microsections
    Martynenko, Tatyana
    Privalov, Maksim
    Sekirin, Aleksandr
    BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES (BICA) FOR YOUNG SCIENTISTS, 2016, 449 : 141 - 150
  • [26] A Comprehensive Analysis of Linear Programming in Image Processing
    Shrivastava, Ankit
    Poonkuntran, S.
    Muneeeswaran, V.
    ADVANCES IN COMPUTING AND DATA SCIENCES (ICACDS 2022), PT I, 2022, 1613 : 323 - 335
  • [27] PLANT COUNTING WITH LOW ALTITUDE IMAGE PROCESSING
    Demirci, Osman
    Varul, Murat
    Senyer, Nurettin
    Odabas, Mehmet Serhat
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 2266 - 2269
  • [28] Method of Image Processing Based on Fractal and GA
    Li, Hanjun
    Zhang, Wei
    PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL I, 2009, : 1060 - +
  • [29] An MBO Scheme on Graphs for Classification and Image Processing
    Merkurjev, Ekaterina
    Kostic, Tijana
    Bertozzi, Andrea L.
    SIAM JOURNAL ON IMAGING SCIENCES, 2013, 6 (04): : 1903 - 1930
  • [30] Membrane computing and image processing: a short survey
    Diaz-Pernil, Daniel
    Gutierrez-Naranjo, Miguel A.
    Peng, Hong
    JOURNAL OF MEMBRANE COMPUTING, 2019, 1 (01) : 58 - 73