Single-View Rolling-Shutter SfM
This addresses a gap in RS SfM for computer vision applications, but it appears incremental as it builds on existing geometry without major breakthroughs.
The paper tackles the problem of structure-from-motion with rolling-shutter cameras by characterizing single-view geometry for points and lines, deriving minimal reconstruction problems, and evaluating feasibility with proof-of-concept solvers, showing practical limitations.
Rolling-shutter (RS) cameras are ubiquitous, but RS SfM (structure-from-motion) has not been fully solved yet. This work suggests an approach to remedy this: We characterize RS single-view geometry of observed world points or lines. Exploiting this geometry, we describe which motion and scene parameters can be recovered from a single RS image and systematically derive minimal reconstruction problems. We evaluate several representative cases with proof-of-concept solvers, highlighting both feasibility and practical limitations.