Moscow, Moscow, Russian Federation
The article discusses the features of constructing a 3D image using the "3DF Zeph-yr Free" software and an algorithm for obtaining three-dimensional images. The possibilities and limitations of using different versions of the program in question are revealed. Experimentally, using the example of static and dynamic traces of hacking tools and tools, the effectiveness of using the "3DF Zephyr Free" program to study trace micro-signs has been proven. Recommendations on the choice of cameras for fixing footprints in two-dimensional space for their subsequent transformation into a three-dimensional image using the program "3DF Zephyr Free" are proposed. It is noted that the use of the proposed method is possible not only in the study of micro-traceology objects, but also in other types of examinations, such as forensic ballistic examination and technical forensic examination of documents. Based on the results of experimental studies, the authors conclude that 3D imag-es of footprints allow for a complete and comprehensive transfer of the signs of the object under study on the illustration table, which ensures the credibility and visibility of the results obtained by expert means.
traceological examination, software, microsigns, footprints, 3D images.
1. Trubitsyn R. Y. Forensic investigation of the microrelief of objects of forensic examinations. Dissertation of candidate of juridical sciences. Saratov; 2000: 160. (In Russ.).
2. Barinova O. A. The use of information technologies in the forensic examination of document details. In: Debatable issues of theory and practice of forensic exami-nation. Materials of IV International Scientific and Practical Conference, 25–26 March 2021. Moscow: Russian State University of Justice; 2021: 93–96. (In Russ.).
3. Chetverkin P. A. Methods of digital processing of visually impaired images in the technical and forensic examination of documents. Dissertation of candidate of juridical sciences. Moscow; 2009: 259. (In Russ.).
4. Palchikova I. G., Smirnov E. S. Interval estimation of color parameters from digital images. Computer optics, 95–102, 2017. (In Russ.).



