000			03267nam a2200229 4500
001			393398
090			_a393398
100			_a20150721d2013 y0pory50 ba
101			_aeng
200			_aDay and night real time signature enhanced crime scene survey camera _bRecurso eletrónico _efinal report _fMilind Mahajan ...[et al.]
210			_a[Rockville, MD] _cNational Criminal Justice Reference Service (NCJRS) _d2013
215			_a1 CD-ROM _d12 cm
300			_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.).
330			_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.
606			_aANÁLISE LABORATORIAL _9326721
606			_aANÁLISE DE VESTÍGIOS _9320649
606			_aCIÊNCIA FORENSE _9321508
710			_aDAY AND NIGHT REAL TIME SIGNATURE ENHANCED CRIME SCENE SURVEY CAMERA _9357803
955			_xOferta