Daniel Lichy, Ph.D. is a 3D computer vision researcher on Kitware’s Computer Vision Team. He conducts research and develops innovative solutions for complex problems related to camera calibration, registration, and 3D reconstruction from images. Daniel has expertise in machine learning, computer vision, and computational photography and he contributes to 3D geometry reconstruction projects.

Prior to joining Kitware, Daniel interned at NVIDIA Research. As an intern, he developed depth estimation models that generalized across different camera fields-of-view, contributing to advancements in video depth estimation, depth completion, and dynamic object segmentation. Daniel also served as a research assistant at the University of Maryland, working on inverse rendering of objects and human faces, leading to publications in top-tier conferences such as CVPR and TPAMI. Additionally, Daniel has experience as a teaching assistant in the Immersive Media Design Program, where he developed 3D scanning procedures for interdisciplinary student projects, and as a Postbac IRTA Fellow at the National Institute of Biomedical Imaging and Bioengineering, where he created image segmentation software for biological research.

Daniel holds a Ph.D. in computer science and a bachelor’s degree in mathematics from the University of Maryland.