TitleVisualization of Scene Structure Uncertainty in Multi-View Reconstruction (In Proceedings)
inApplied Imagery Pattern Recognition (AIPR) Workshop
Author(s) Shawn Recker, Mauricio Hess-Flores, Mark A. Duchaineau, Kenneth I. Joy
Editor(s) Shawn Recker, Mauricio Hess-Flores
Year October 2012
LocationWashington, DC
Abstract This paper presents an interactive visualization system, based upon previous work, that allows for the analysis of scene structure uncertainty and its sensitivity to parameters in different multi-view scene reconstruction stages. Given a set of input cameras and feature tracks, the volume rendering-based approach creates a scalar field from reprojection error measurements. The obtained statistical, visual, and isosurface information provides insight into the sensitivity of scene structure at the stages leading up to structure computation, such as frame decimation, feature tracking, and self-calibration. Furthermore, user interaction allows for such an analysis in ways that have traditionally been achieved mathematically, without any visual aid. Results are shown for different types of camera configurations for real and synthetic data as well as compared to prior work.