03294nam a2200205   4500001000700000090001100007100004100018101000800059200013700067210007900204215002000283300014400303330232900447606003502776606003702811606003002848710008102878955001102959995011802970393398  a393398  a20150721d2013       y0pory50      ba  aeng  aDay and night real time signature enhanced crime scene survey camerabRecurso eletrónicoefinal reportfMilind Mahajan ...[et al.]  a[Rockville, MD]cNational Criminal Justice Reference Service (NCJRS)d2013  a1 CD-ROMd12 cm  aResearch report submitted to the U.S. Department of Justice. NIJ Award Number: 2010-DN-BX-K144. Ficheiro de 7,41 MB em formato PDF (78 p.).  aThe goal of this work is to lay down the foundations of an integrated day and night forensic survey camera capable of real time enhancement of targets of forensic interest. The camera collects and analyzes different wavelength and polarization channels using multiple wavelength illumination, including ultraviolet (UV) for fluorescence.Table of contents. Executive summary. I. Introduction. I.1. Background. I.2. Research rationale. II. Methods. II.1. Hardware description. II.2. Hardware integration. II.3. Experimental procedure. III. Results. III.1. First multi-spectral images. III.2. Multispectral analysis of ink samples. III.3. Multispectral analysis of blood stains on cloth. III.4. Evaporated solvents. III.5. Imaging latent prints. III.6. Solvents that leave residue. III.7. Polarization analysis of prints. III.8. UV/Fluorescence imaging of blood stains. III.9. UV/Fluorescence imaging of saliva. III.10. Soot damaged paper. III.11. Experiments in outdoor environment. IV. Description of image processing algorithms. IV.1. Contrast enhancement. IV.2. Color opponent processing. IV.3. Three channel false color. IV.4. Spectral measurements. IV.4.1. TM14 and TM41. IV.4.2. ARVI and ASVI. IV.4.3. GEMI and MSAVI. IV.5. Multispectral analysis. IV.5.1. Data cube and spectral vectors. IV.5.2. Spectral target samples. IV.5.3. Anomaly detection algorithms. IV.5.3.1. Constrained energy minimization (CEM). IV.5.3.2. Generalized Likelihood Ratio Test (GLRT). IV.5.3.3. Adaptive coherence estimator (ACE). IV.5.3.4. Hybrid unstructured detector (HUD). IV.6. Frequency subband filtering. IV.7. Steerable filter. IV.8. Fusion via multi-scale, multi-orientation steerable pyramid. IV.8.1. Steerable pyramid. IV.8.2. Image fusion. IV.9. Gabor filter based fingerprint enhancement. IV.10. Polarization analysis. IV.10.1. Stokes parameter images. IV.10.2. Contrast enhancement via virtual polarizer.  IV.10.3. Degree of linear polarization and angle of polarization. IV.11. Contextual rank ordering. IV.11.1. Rank order metric. IV.12. A note on processing platform requirement. V. LED Pulsed illumination and radiometric considerations. V.1. Optical characteristics as specified by the manufacture.  V.2. Overdriving. V.3. Typical lighting conditions.VI. Conclusions. VII. Dissemination of research findings. VIII. References.  aANÁLISE LABORATORIAL9326721  aANÁLISE DE VESTÍGIOS9320649  aCIÊNCIA FORENSE9321508  aDAY AND NIGHT REAL TIME SIGNATURE ENHANCED CRIME SCENE SURVEY CAMERA9357803  xOferta  104PJCD_258_00000000000000052022-06-066PJCD2589425845aPJcPJfPJ1CD258_69kPJCD258n2022-06-06o0rMOxOferta