Rees, A., Salem, M., Elkaseer, A., & Scholz, S. (2022). A Hybrid Learning-Driven Computer Vision Framework for Reverse Engineering via Enhanced 3D Shape Reconstruction. Proceedings of the Future Technologies Conference (FTC) 2022, 2, pp. 848-861. doi:10.1007/978-3-031-18458-1_58
Chicago Style CitationRees, Andrew, Mahmoud Salem, Ahmed Elkaseer, and Steffen Scholz. "A Hybrid Learning-Driven Computer Vision Framework for Reverse Engineering Via Enhanced 3D Shape Reconstruction." Proceedings of the Future Technologies Conference (FTC) 2022 2 (2022): 848-861.
MLA CitationRees, Andrew, Mahmoud Salem, Ahmed Elkaseer, and Steffen Scholz. "A Hybrid Learning-Driven Computer Vision Framework for Reverse Engineering Via Enhanced 3D Shape Reconstruction." Proceedings of the Future Technologies Conference (FTC) 2022 2 (2022): 848-861.