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cs.CV2026
Robust Local Optimization Done Right
James Pritts, Kevin Köser
RANSAC scoring and local optimization (LO) impose different robustness requirements, motivating the separation of hypothesis selection from refinement. We systematically isolate th…
cs.CV2026
BlobBoards: Robust Markers for Accurate Pose
James Pritts, Till Sittart, Hendrik Sauer +4
We propose BlobBoards, a fiducial marker system comprising a dense, multi-scale field of Gaussian blobs and a feature-based pipeline for joint detection, identification, and pose e…
cs.LG2026
RANSAC Scoring Done Right
James Pritts, Felix Seegräber, Kevin Köser
The most widely used RANSAC variants score candidate models by counting inliers or summing per-point scores that saturate beyond a residual threshold. Every such score requires a u…