“Portable high-resolution automated 3D imaging for footwear and tire impression capture,” Journal of Forensic Sciences (2021)

Y.-H. Liao, J.-S.-Hyun, M. Feller, T. Bell, I. Bortins, J. Wolfe, D. Baldwin, and S. Zhang, “Portable high-resolution automated 3D imaging for footwear and tire impression capture,” Journal of Forensic Sciences 66(1), 112-128 (2021) doi: 10.1111/1556-4029.14594

Abstract

This paper presents a high-resolution 3D imaging technology that we developed specifically for footwear and tire impression capture. We developed fully automated software algorithms and graphical user interface (GUI) that allow anyone without training being able to operate this system for high-quality 3D data capture. Comparing with the high-end commercially available 3D scanner, our technology achieves a similar level accuracy and resolution, our system has the merits of 1) being more affordable (a fraction cost of the commercial system); 2) being much easier to operate; and 3) being more robust. Comparing with the current practice of casting, our technology demonstrates its superiority because 1) it is non-destructive, 2) it collects more evidence than casts especially when an impression is fragile (e.g. in dry fine sand), and 3) it costs less time and money to collect each evidence. This paper describes the principle of the proposed technology, compares its performance with a commercially available 3D scanner, and presents our research findings on capturing various impressions with conventional practices and our technology.

"Comparative study on 3D optical sensors for short range applications", Optics and Laser Technology (2021)

Abstract

The increasing availability of commercial 3D optical sensors drastically benefits the mechatronics community by providing affordable sensing means for perception and control. Yet, to our knowledge, there are no comparable study to the state-of-the-art 3D optical sensors, making it difficult for users to select for their specific applications. This paper evaluates the performance of each sensor for short range applications (i.e., $\le$  1 m ). Specifically, we present our findings on the measurement accuracy of each sensor under ``ideal'' situations, compare the influence of various lighting conditions, object surface properties (e.g., transparency, shininess, contrast), and object locations. In addition, we developed software APIs and user instructions that are available for the community to easily use each of the evaluated commercially available 3D optical sensor.


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