Abstract
The reconstruction of crime scene plays an important role in digital forensic application. Although the 3D scanning technique is popular in general scene reconstruction, it has great limitation in the practice use of crime scene presentation. This article integrates computer graphics, sketch-based modeling and virtual reality (VR) techniques to develop a low-cost and rapid 3D crime scene presentation approach, which can be used by investigators to analyze and simulate the criminal process. First, we constructed a collection of 3D models for indoor crime scenes using various popular techniques, including laser scanning, image-based modeling and software-modeling. Second, to quickly obtain an object of interest from the 3D model database that is consistent with the geometric structure of the real object, a sketch-based retrieval method was proposed. Finally, a rapid modeling system that integrates our database and retrieval algorithm was developed to quickly build a digital crime scene. For practical use, an interactive real-time virtual roaming application was developed in Unity 3D and a low-cost VR head-mounted display (HMD). Practical cases have been implemented to demonstrate the feasibility and availability of our method.
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Acknowledgement
The authors would like to thank the anonymous reviewers. Special thanks to all the members of SweetHome3D project. This work is supported by the National Natural Science Foundation of China (No. 61402042), the open subject of the key laboratory of traces of science and technology of Ministry of Public Security (No. 2014FMKFKT04) and the National Key Technology Research and Development Program of China (No. 2012BAH33F04).
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Ren, P., Zhou, M., Liu, J., Fan, Y., Zhao, W., Shui, W. (2018). Sketch-Based Modeling and Immersive Display Techniques for Indoor Crime Scene Presentation. In: Matoušek, P., Schmiedecker, M. (eds) Digital Forensics and Cyber Crime. ICDF2C 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 216. Springer, Cham. https://doi.org/10.1007/978-3-319-73697-6_14
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DOI: https://doi.org/10.1007/978-3-319-73697-6_14
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