Ikumi Ito

Papers

Total Citations

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About

Ikumi Ito’s research career is anchored in the foundational challenges of computer vision and robotics, with a particular focus on extracting three-dimensional information from two-dimensional images. Her most cited work, the 1987 paper "Determining 3-D Transformation Parameters from Images: Theory," provides a rigorous theoretical framework for estimating 3D motion from dynamic imagery—a problem critical to robotic navigation, object tracking, and scene understanding. Although the paper has garnered 3 citations, its significance lies in its systematic analysis of the three principal approaches to this complex inverse problem, offering a clear taxonomy that has guided subsequent researchers. Ito’s contribution is notable for its clarity and depth, distilling a notoriously difficult geometric and computational challenge into an accessible theoretical structure. While her citation count is modest, her work represents a thoughtful, foundational piece in the early development of motion estimation techniques, serving as a valuable reference for those entering the field. For students and researchers exploring the roots of 3D vision, Ito’s paper remains a concise and insightful starting point.