A High Resolution 3D Tire and Footprint Impression Acquisition for Forensics Applications

Abstract

This paper presents a method with which 3D images of tire track and footprint impressions at crime scenes can be captured with high fidelity, while capturing high resolution 2D color texture images simultaneously. The resulting device is portable, easy to use, is non-destructive of the evidence, and saves time at crime scenes. The same technique can also be used in the laboratory to create 3D depth images of suspect tires or shoe soles. Computer-based pattern matching technology can be used to assist in matching and comparison tasks. The device produces better quality data at a close range obtained in a larger field (or span in the case of tire impressions) compared to existing devices. It avoids problems related to occlusions by using two lasers and can digitize long spans of impressions in one scan. The method includes a calibration method which is integrated into the scanning process on site, thus avoiding problems with pre-calibrated configurations becoming stale during transportation and setup. 1.

Cite

Text

Gamage et al. "A High Resolution 3D Tire and Footprint Impression Acquisition for Forensics Applications." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013. doi:10.1109/WACV.2013.6475035

Markdown

[Gamage et al. "A High Resolution 3D Tire and Footprint Impression Acquisition for Forensics Applications." IEEE/CVF Winter Conference on Applications of Computer Vision, 2013.](https://mlanthology.org/wacv/2013/gamage2013wacv-high/) doi:10.1109/WACV.2013.6475035

BibTeX

@inproceedings{gamage2013wacv-high,
  title     = {{A High Resolution 3D Tire and Footprint Impression Acquisition for Forensics Applications}},
  author    = {Gamage, Ruwan Egoda and Joshi, Abhishek and Zheng, Jiang Yu and Tuceryan, Mihran},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2013},
  pages     = {317-322},
  doi       = {10.1109/WACV.2013.6475035},
  url       = {https://mlanthology.org/wacv/2013/gamage2013wacv-high/}
}