The authors present an approach to identify non-cooperative individuals at a distance from a sequence of images using 3D face models.
Most biometric features (such as fingerprints, hand shape, iris or retinal scans) require cooperative subjects in close proximity to the biometric system. We process images acquired with an ultra-high resolution video camera, infer the location of the subjects' head, use this information to crop the region of interest, build a 3D face model, and use this 3D model to perform biometric identification. To build the 3D model, we use an image sequence, as natural head and body motion provides enough viewpoint variation to perform stereo-motion for 3D face reconstruction. Experiments using a 3D matching engine suggest the feasibility of proposed approach for recognition against 3D galleries. (Publisher abstract provided)
- GC/MS and DART-MS as complementary methods for investigating the effects of weathering on chemical profiles of ignitable liquids: A case study for paint thinner
- Forensic entomology when the evidence is “no insect.” Best carrion fly species for predicting maximum postmortem interval in the United Arab Emirates
- Calibrating the perceived strength of evidence of forensic testimony statements