Oren Katzir

Papers

Total Citations

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About

Oren Katzir is a researcher whose work bridges geometry, computer vision, and computational fabrication. His most-cited paper, "Dip Transform for 3D Shape Reconstruction" (2017, 15 citations), introduces an elegant method for three-dimensional shape acquisition inspired by Archimedes’ principle. By repeatedly dipping an object in liquid at different orientations and measuring fluid displacement, Katzir’s technique reconstructs the object’s shape without traditional scanning hardware—a conceptually novel approach that merges physics with digital geometry. This work exemplifies his broader interest in non-traditional sensing and shape analysis. Though early in his career, Katzir’s contributions stand out for their creativity and interdisciplinary thinking, offering a fresh perspective on how to capture and represent 3D form. His research is particularly relevant for students and researchers exploring alternative acquisition methods, computational geometry, or the intersection of physical measurement and digital modeling.