Multiview Differential Geometry of Curves
Ricardo Fabbri, Benjamin Kimia

TL;DR
This paper develops a differential geometry framework for 3D reconstruction and camera estimation using image curves, addressing limitations of point features in unstructured or feature-scarce scenarios.
Contribution
It introduces a cohesive theoretical foundation linking 2D image curves with 3D space curves, enabling new multiview reconstruction and camera estimation methods.
Findings
Derived differential geometry of image curves from space curves.
Established relationships between image and space curve geometry.
Enabled 3D curve reconstruction and camera pose estimation from image curves.
Abstract
The field of multiple view geometry has seen tremendous progress in reconstruction and calibration due to methods for extracting reliable point features and key developments in projective geometry. Point features, however, are not available in certain applications and result in unstructured point cloud reconstructions. General image curves provide a complementary feature when keypoints are scarce, and result in 3D curve geometry, but face challenges not addressed by the usual projective geometry of points and algebraic curves. We address these challenges by laying the theoretical foundations of a framework based on the differential geometry of general curves, including stationary curves, occluding contours, and non-rigid curves, aiming at stereo correspondence, camera estimation (including calibration, pose, and multiview epipolar geometry), and 3D reconstruction given measured image…
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