Single-View Rolling-Shutter SfM
Sof\'ia Err\'azuriz Mu\~noz, Kim Kiehn, Petr Hruby, Kathl\'en Kohn

TL;DR
This paper investigates the geometry of rolling-shutter cameras in single-view structure-from-motion, deriving minimal problems and demonstrating the feasibility of recovering scene and motion parameters from a single image.
Contribution
It characterizes the single-view geometry of rolling-shutter cameras and systematically derives minimal reconstruction problems for various cases.
Findings
Feasibility of recovering scene and motion parameters from a single RS image
Development of proof-of-concept solvers for minimal problems
Identification of practical limitations in RS SfM
Abstract
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.
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Taxonomy
TopicsAdvanced Vision and Imaging · Digital Image Processing Techniques · Advanced Optical Imaging Technologies
