Tatiana Surazhsky
Papers
1
Total Citations
144
H-Index
1
About
Tatiana Surazhsky is a leading researcher in computer graphics and geometric modeling, with a primary focus on the analysis and processing of triangular meshes. Her most influential work, "A comparison of Gaussian and mean curvatures estimation methods on triangular meshes" (2004), has garnered 144 citations and remains a foundational reference in the field. This seminal paper systematically evaluates techniques for estimating intrinsic geometric properties—such as Gaussian and mean curvatures—from polygonal meshes derived from range data, a critical step for algorithms in computer vision, robotics, biomedical engineering, and industrial design. By providing a rigorous comparative analysis, Surazhsky’s work has guided researchers in selecting optimal curvature estimation methods, directly impacting the accuracy of surface reconstruction, shape analysis, and mesh processing. Her contributions are particularly valued in applications requiring precise geometric understanding, from medical imaging to 3D modeling. Surazhsky’s research continues to influence the development of robust computational tools for handling complex surface geometries, making her a key figure in the advancement of geometric data processing and its real-world applications.
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