AI RESEARCH
CAD-to-CT Registration of Cylindrical Objects via Ellipse-Based Axis Estimation
arXiv CS.CV
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ArXi:2606.02935v1 Announce Type: new Accurate registration of CAD models to CT scans is essential for establishing ground truth geometry in volumetric imaging. Obtaining reliable object masks is of growing importance in machine learning settings; as recent architectures grow capable, huge datasets are required to fully utilise their capabilities. Traditional intensity-based methods fail when CT grayscale values lack calibration references, while point-based algorithms (e.g., ICP, RANSAC) require feature correspondence unavailable between idealized CAD geometry and noisy volumetric CT data.